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Privacy for Agencies and Partners Certification Exam Answers

50 questions in the exam.
80% is required to pass the exam

All answers to pass this certification are only in our .PDF file, you can buy and download here:

Questions:

What actions should your clients take now?

Find alternative ways to collect data from other sites and sources.
Use robust first-party data collection solutions.
Adopt products that further strengthen the data signals they send to Google.
Stay on top of the latest measurement best practices and activate them.

How does Google Analytics 4 address evolving measurement standards and help businesses succeed?

It measures all conversions equally across channels.
It lets users opt out of data collection and automatically remove their details.
It has the flexibility to measure many different types of data.
It lets businesses see unified user journeys across their websites and apps.
It uses Google’s machine learning technology to surface and predict new insights.

What’s the outcome of using machine learning to model and plug gaps in data when users opt out of collection?

Clients need larger volumes of data from customers who opted into data collection, to maintain accurate measurement and reporting.
Conversions that are based on probabilities rather than actual purchases.
Less accurate customer journeys that adhere to privacy regulations.
A data set that represents a more accurate picture of website and app performance, while also remaining privacy safe.

Which of the following isn’t a benefit of linking Google Analytics 4 and Google Analytics for Firebase?

Anonymized IP addresses let you control data retention periods and disable data collection when required.
Use event data you capture for app installs and conversion tracking.
Improve your bid strategies in Google Ads.
Serve the right app ads on desktop and in YouTube Living Room.

Optimized targeting uses ____ to predict the individuals most likely to convert and reaches them for you.

First-party data
Google audiences
Signals
Machine learning

Complete the following sentence: Customer Match transforms first-party data into____.

Identifiable audiences
Consent-based audiences
Verified audiences
Targetable audiences

What type of data does Smart Bidding use to optimize toward business goals?

Second-party data
Third-party data
Google data
First-party data

Which of the following describes FLEDGE most accurately?

Calculates users’ top five most frequented topics based on the participating sites they’ve visited.
Matches conversion events to the initial ad logged, giving it partial credit.
Measures user behavior online and replaces third-party cookies.
Supports re-engagement with users based on their actions on a website or app.

Which of the following are three use cases for the Privacy Sandbox?

Gaining customer consent
Re-engaging audiences
Performance measurement
Interest-based advertising

What are the key trust levers to gain user’s trust?

Personalization
Security
Usefulness
Control
Transparency

What should marketers strive to give users?

The ability to opt out of all ads and cookies, at all times.
Controls only when they absolutely need them.
Personalized experiences based on their browsing history.
Helpful, in-the-moment controls that empower them to choose the ad experience that’s right for them.

What process is used to keep Customer Match data private?

Enhancing data
Cleaning data
Encrypting data
Hashing data

Which of the following three features are available in Google Analytics for Firebase?

Measuring the effectiveness of web-based conversions
Combining data streams from websites and native apps in one place
Using first-party data while respecting user privacy
Control over user data collection, retention, and removal
Event-centric, in-app behavioral analytics

Which of the following statements is true?

Every conversion or customer brings equal value to a business. By assigning a value to every transaction, you can improve your CTR.
Marketers and agencies don’t rely heavily on Smart Bidding to maximize campaign performance.
Smart Bidding uses third-party data to support your client’s first-party data and drive as many conversions as possible.
Smart Bidding drives as many conversions as possible, to maximize your client’s ROI or budget target.

Which of the following statements is false?

Conversion modeling uses the behavior of observed groups to predict the behavior of other groups without identifying any single individual.
Google’s modeled data is automatically surfaced in campaign reporting and automatically powers optimization and bidding.
Google’s models are customized to your business, meaning they’re unique to specific customer behavior.
Conversion modeling can’t provide a complete picture of your performance when the path between ad interactions and conversions isn’t visible.

Your client is eager to kick off their privacy strategy. What's one step your client can take today to get in front of ongoing privacy changes that are likely to affect the way data is collected?

Begin to develop robust third-party inventories with key ad network partners.
Launch a program that tracks app-to-web behavior across all various OS devices.
Mitigate data loss by measuring data accurately through enhanced conversions.
Activate their data through complex manual systems, such as network-based remarketing.

What's an example of a key benefit of conversion modeling?

Conversion modeling won't need to adapt to address user behaviors since there's a one-size-fits-all measurement approach.
Conversion modeling allows advertisers to quantify the impact of marketing efforts when a subset of conversions can easily be tied to ad interactions.
Using conversion modeling ensures that your clients’ measurement will no longer be required to remain privacy-safe.
By using conversion modeling, campaigns and bidding strategies will be better optimized, leading to better campaign results.

Which Chrome and Android Privacy Sandbox API aims to measure campaign performance without third-party cookies?

Topics
Protected Audience
Attribution Reporting
First-Party Set

Why would someone use Google Analytics for Firebase instead of Google Analytics 4, considering that the same SDK powers both experiences?

App developers would use Google Analytics for Firebase because it's app-focused and it streamlines the deep-linking process.
Marketers working with clients whose consumers are heavy users of Android devices might prefer using Google Analytics for Firebase.
Even if the same SDK powers both experiences, analysts prefer to use Google Analytics for Firebase due to its reporting tools and better UI.
Unlike Google Analytics 4, Google Analytics for Firebase is compliant with privacy regulations specific to app developers, making it a more useful platform in some cases.

What does the Chrome and Android Privacy Sandbox aim to achieve?

The Privacy Sandbox proposes to limit cross-site and cross-app user tracking on Chrome and Android.
The Privacy Sandbox proposes to re-create third-party cookie tracking methods.
The Privacy Sandbox proposes to use anonymized PII to target and measure user activity.
The Privacy Sandbox proposes to maintain the status quo, but with far more control to opt out.

Your client would like to improve their marketing strategy with privacy-centric solutions. Which two steps should they take to begin the process?

Speak to Google's privacy specialist to get customized recommendations for their business.
Take a wait-and-see approach before they make any privacy-centric plans.
Craft strategies using the Build, Measure, Activate Framework and its privacy-centric solutions.
Set aside a budget to explore privacy-centric solutions to ensure it becomes a priority.

If you want to unite all non-keyword related Google advertising into one automated cross-product, which campaign type will you use?

Smart Shopping Campaigns to drive eCommerce revenues at your target ROAS
App Campaigns to drive consumers to download, take certain actions, or increase their usage of your app at your target cost per download/action or your target ROAS
Performance Max Campaigns to combine the best-in-class automation technologies across bidding, targeting, creatives, and attribution to help you drive growth in conversions and value
Video Action Campaigns to drive more conversions from YouTube

Your client sells furniture and is ready to optimize profit rather than revenue. How can Smart Bidding support your client?

Smart Bidding can help clients attribute more observed conversions to their digital campaigns.
Smart Bidding helps clients use business data instead of the transaction value to optimize for better returns.
Smart Bidding can help eCommerce clients deliver the right creative, at the right time, to the right person.
Smart Bidding is available for Display, Video, YouTube, and Gmail, ensuring optimization across channels.

Your client has lots of repeat customers and would like your help reaching consumers who will drive the highest conversion revenue in the future. How would you recommend they achieve their goal using Smart Bidding?

Recommend your client use enhanced CPC, as these are the metrics of the future.
Recommend your client double down on lead generation efforts to drive new purchasers.
Recommend your client use historical purchase data and optimize toward lifetime value (LTV).
Recommend your client add smart creatives like RSA to campaigns and ad groups.

What two benefits of machine learning help marketers stay privacy-centric?

it helps marketers develop rich, data-based consumer insights for improved consumer.
it helps marketers collect the first-party data resources used for marketing.
it helps marketers in reaching qualified audiences, even with some limited signals.
it helps marketers track performance when there’s no visible path between ad interactions and conversions.

What factors have led the ad ecosystem to increasingly look to machine learning in recent years?

Chrome announced its intent to phase out first-and third-party cookies as soon as an alternative is available.
Data scientists have begun driving machine learning projects and efforts forward.
Increasing user expectations, privacy regulation, and technology changes have been affecting campaign measurability.
Marketers began using machine learning to find patterns to predict behavior, and to quickly optimize.

How can ad tech companies expect to use Chrome and Android Privacy Sandbox APIs — including Google Ads solutions?

Ad tech companies can expect to use Privacy Sandbox solutions as standalone products.
They can expect Privacy Sandbox signals to be integrated with other signals.
Ad tech companies can expect to use only Privacy Sandbox signals in their products.
Advertisers and publishers can expect to integrate all Privacy Sandbox solutions.

What can the Chrome and Android Privacy Sandbox help advertisers achieve?

Re-creating third-party cookie tracking methods.
Limiting cross-site and cross-app tracking for Chrome and Android users.
Using anonymized PII to target and measure user activity.
Maintaining the status quo, but with far more control to opt out.

When describing the Chrome and Android Privacy Sandbox, which two statements would you use?

Select 2 Correct Responses

Privacy Sandbox is expected to evolve and continue to improve privacy and utility.
Chrome is building and testing Privacy Sandbox with a closed group of stakeholders across the web.
Privacy Sandbox is developed through an open and transparent process.
Privacy Sandbox will strengthen existing tracking mechanisms and permit covert tracking.

Why is Smart Bidding a durable, privacy-safe solution?

It's an attribution model that values the downstream impact of generic keywords (automatically bids up generic keywords that drive a lot of brand conversions).
It's an analytics tool that uses dozens of signals from how users interact with your website. It also enables segmenting users into value segments more effectively than rules-based segmentation.
It's a creative practice that follows all the new best practices for improving ad creative, such as including setting rotation to optimize to conversion, adding all the relevant ad extensions.
It's a subset of automated bid strategies that use machine learning to optimize for conversions or conversion value in each and every auction.

Which two key advertising use cases does the Privacy Sandbox support?

Select 2 Correct Responses

Audience re-engagement
Interest-based advertising
Content personalization across all devices
Seamless data-sharing with advertising brands

Which two Google tagging infrastructures help clients build durable first-party data?

Select 2 Correct Responses

Consent Mode
Engaged Conversions
Site-wide tagging
Google Firestack

When a subset of conversions can’t be tied to ad interactions, which of the following actions should a marketer take?

What step should a marketer take when they can’t tie a subset of conversions to ad interactions?

Adjusting Smart Bidding campaigns daily to avoid waiting for the algorithm to learn and adjust
Update Smart Bidding campaigns every day to avoid waiting for the algorithm to learn and adjust.
Asking partners for help filling in the gaps using fingerprinting and alternative ID solutions
Work with partners who might be able to fill the gaps using fingerprinting and alternative ID solutions.
Using conversion modeling to get a more complete picture of advertising performance
Use conversion modeling to get a more comprehensive picture of advertising performance.
Avoiding buying impressions on browsers and device types for which the ability to measure is declining
Avoid buying impressions on browsers or device types that make it harder to measure.

Which of the following is a key benefit of using Consent Mode?

Consent Mode creates an automated integration between the advertiser's website and Google Analytics 4.
They can create an automated integration between the advertiser's website and Google Analytics 4.
Consent Mode provides an option to adjust how Google tags behave based on the user's cookie consent choices.
They can adjust how Google tags behave based on the user's cookie consent choices.
Consent Mode makes it mandatory for users to accept third-party cookies tracking.
They can require users to accept third-party cookies tracking.
Consent Mode lets publishers offer more audience segments based on users' consent.
They can offer more audience segments based on user consent.

Which strategy is recommended to encourage as many site visitors as possible to share their email?

Use a single sign-on (SSO) tool like Google or Facebook Connect, which can increase the email sharing rate by 20%-40%.
Using a single sign-on (SSO) tool, like Google or Facebook Connect, which can boost the email sharing rate by 20%-40%.
Include an email collection pop-up feature to improve chances of email collection.
Boosting the chances of email collection by adding an email collection pop-up feature.
Adjust the landing page strategy and always place the email-sharing at the checkout page only.
Adjusting the landing page strategy and including the email-sharing at the checkout page only.
Prioritize more discounts through email, which increases the lifetime value (LTV).
Increasing the lifetime value (LTV) by prioritizing more discounts through email.

What makes optimized targeting a good fit for a cookieless world?

It was designed to be implemented with Google Analytics 4, which is also well equipped for privacy-safe marketing strategies.
Optimized targeting was designed to work with Google Analytics 4, which is also well equipped for privacy-safe marketing strategies.
It relies on first-party data, Google audiences, and machine learning instead of third-party data.
Optimized targeting relies on first-party data, Google audiences, and machine learning instead of third-party data.
It permits third-party cookies without informing users, while using machine learning algorithms that ensure user privacy.
Optimized targeting permits using third-party cookies without informing the users, while using machine learning algorithms that ensure user privacy
It optimizes Display and Video campaigns to reach users who frequently accept being tracked through cookies across sites.
Optimized targeting uses Display and Video campaigns to reach visitors who frequently accept being tracked through cookies across sites.

Which two steps should they take to begin the process?

Select 2 Correct Responses

Reach out to Google's privacy specialist to request customized recommendations for their business.
Speak to Google's privacy specialist to get customized recommendations for their business.
Set aside a budget to explore privacy-centric solutions to help prioritize it.
Set aside a budget to explore privacy-centric solutions to ensure it becomes a priority.
Take a wait-and-see approach before mapping out their privacy-centric plans.
Take a wait-and-see approach before they make any privacy-centric plans.
Develop strategies using the Build, Measure, Activate Framework and its privacy-centric solutions.
Craft strategies using the Build, Measure, Activate Framework and its privacy-centric solutions.

Which API from the Privacy Sandbox can help advertisers serve relevant messages to prospective customers without using third-party cookies?

Which API from the Privacy Sandbox would you recommend they use to reach their goal?

Fraud tokens
Measurement API
Topics
FLEDGE

What two key benefits of machine learning support a privacy landscape?

Select 2 Correct Responses

Track performance when the path between ad interactions and conversions is unclear.
Develop robust, data-based 1:1 user insights profiles to help boost engagement with users.
Connect with qualified audiences, despite having limitations on some signals.
Gather the first-party data resources that are used for marketing campaigns.

Why does Google continuously invest in the security of its consumer-facing products?

To collect data more easily through products
It’s easier to collect data through products.
To increase loading speed of the products
It increases the loading speed of its products.
To charge a premium for the products
It allows Google to charge a premium for its products.
To protect personal information and build user trust in products
It protects personal information and builds user trust in products.

What happens to the user data when an advertiser adds one of their users to the advertiser's Customer Match list?

It makes the user's data publicly available to all marketers.
The user's data becomes publicly available to all marketers.
It adds the user's data to additional Google products automatically.
User data gets added to additional Google products automatically.
It shares the user's data with multiple publishers and platforms.
User data gets shared with multiple publishers and platforms.
It keeps the user's data confidential and secure.
The user's data stays confidential and secure.

How does conversion modeling benefit a client's business?

Ensures the client's measurement remains privacy-safe, while fueling more efficient campaign optimization and bidding.
It helps the client’s measurement stay privacy-safe, while providing more efficient campaign optimization and bidding.
Deprioritizes users who have a lower reported performance to ensure the campaign is optimized to strong performance.
It deprioritizes users with a lower reported performance to optimize the campaign for strong performance.
Helps clients learn from the models by reverse-engineering algorithms and building their own models.
It helps clients learn from the models by reverse-engineering algorithms and building their own models.
Helps marketers identify people who are similar to their converters, so they can reach the entire interest group.
It helps marketers identify people who are similar to their converters so they can reach the entire interest group.

What does the Privacy Sandbox seek to achieve?

Which of the following statements about Privacy Sandbox is true?

It aims to re-create third-party cookie tracking methods.
The Privacy Sandbox proposes to re-create third-party cookie tracking methods.
It aims to keep the status quo, but with more control to opt out.
The Privacy Sandbox aims to maintain the status quo, but with greater control to opt out.
It aims to provide new technology to support key ads use cases, while maintaining privacy.
The Privacy Sandbox proposes new technology to support key ads use cases and maintain privacy.
It aims to use anonymized PII to target and measure user activity.
The Privacy Sandbox aims to use anonymized PII to target and measure user activity.

Your client wants to learn more about how Consent Mode can help their business.
Which feature of Consent Mode should you highlight for them?

It allows for customization to align with their country’s regulatory needs.
Consent Mode can be customized based on their country’s regulatory requirements.
It helps recover impression-to-conversion journeys lost through user consent.
Consent Mode recovers impression-to-conversion journeys lost through user consent.
It retrieves conversion data at an individual user level.
Consent Mode recovers conversion data at an individual user level.
It aligns the tags' behavior based on users' consent choices.
Consent Mode adjusts tags' behavior based on users' consent choices.

What's one way that an eCommerce client can use Smart Bidding?

The client should start with manual bidding first, so Smart Bidding has more data to build on.
The client should start with manual bidding first to give Smart Bidding more data to build on.
The client should focus on lead-generating strategies to drive a maximum number of conversions.
The client should focus on lead-generating strategies to drive the maximum number of conversions.
The client should disregard any first-person data and let machine learning do the heavy lifting.
The client should disregard first-person data and let machine learning do all the work.
The client should use business data such as profit margin to optimize to profit vs. revenue.
The client should use business data, like profit margin, to optimize to profit vs. revenue.

A customer is looking to test cookieless geo-experiments.

What's an advantage of doing this?

What's an advantage of testing cookieless geo-experiments?

It's easy for customers to implement and execute.
It can be easily implemented and executed.
It requires the use of user-level data for experimentation.
It requires using user-level data for experimentation.
It doesn't rely on the use of cross-site tracking for data.
It doesn't rely on using cross-site tracking for data.
It's a good fit for most clients looking to get quick results.
It's a good fit for most clients seeking quick results.

When advertisers don't have observable data, which of the following tools within Google Analytics 4 allows them to model user journeys?

Google Tag Manager
Enhanced conversions
Private mode
Consent Mode

Your client believes that third-party cookies aren’t actually going away.

What should you say to convince your client otherwise?

Chrome is committed to withdrawing support for third-party cookies, and most browsers already restrict and block them.
Chrome is committed to withdrawing support for third-party cookies like other browsers have done.
Data has shown that third-party cookies are no longer effective in capturing real user data.
Presently, data proves third-party cookies aren’t effective in capturing real user data.
Third-party cookies will be staying; but to get ahead, clients should be innovative and look toward first-party data development.
Although third-party cookies are staying, clients can get ahead by being innovative and developing first-party data.
First-party data is equally as cost-efficient and simple to implement as cookie-based advertising.
First-party data is as cost-efficient and simple to implement as cookie-based advertising.

How do Google's user privacy solutions help deliver value to advertisers?

In what way do Google's user privacy solutions benefit advertisers?

By allowing brands to know which users consented to sharing their personal data with them
They allow brands to know which users consented to sharing their personal data with them.
By instantly providing brands access to users' personal data to drive incremental revenue
They allow brands to instantly connect with users and their personal data to drive revenue.
By building user trust in brands, which influences users' willingness to share their data and purchase from the brand
They build user trust in brands, which can make users more willing to share their data and purchase from the brand.
By allowing brands to retarget individual users with personalized messages on a 1:1 level
They give brands access to retarget users through personalized 1:1 messaging.

Which of the following is a condition required for enhanced conversions usage?

Using Google Display Ads or Display & Video 360 (DV360) as the main buy-side platform
Use Google Display Ads or Display & Video 360 (DV360) as the main ads buying platform.
Using sitewide tagging with Google Tag Manager or a recognized third-party solution
Sitewide tagging with Google Tag Manager or a recognized third-party solution
Using email addresses and mobile numbers to match with Google logged-in data
Must have email addresses and mobile numbers to match with Google logged-in data
Using Google Ads Conversion tracking as your conversion source
Google Ads Conversion tracking as your conversion source

Your client wants to know more about Google's Privacy Sandbox.

Which of the following accurately reflects the proposed solutions that you would share with them?

What are the proposed solutions from Google's Privacy Sandbox?

Which of the following is true of the proposed solutions from Google's Privacy Sandbox?

Businesses gain the ability to store third-party cookie information and reach individual users.
Allow businesses the ability to store third-party cookie information and reach users on an individual basis
It stores third-party cookie information and reach users on an individual basis
Businesses can limit tracking for individuals while supporting an open internet ecosystem.
Limit tracking of individuals while supporting an open internet ecosystem
It limits tracking of individuals while supporting an open internet ecosystem
Businesses can maximize both first-party and third-party cookie data while remaining compliant.
Allow businesses to maximize both first-party and third-party cookie data while remaining compliant
It maximizes both first-party and third-party cookie data while remaining compliant
Businesses that advertise solely on the web gain privacy-preserving technologies.
Provide privacy-preserving technologies for only web-based advertisers
It offers privacy-preserving technologies only to web-based advertisers

What’s an effective way to expand your advertising strategy, while staying privacy-safe?

Advertising to users who are similar to your current high-LTV customers
By advertising to users similar to your current high-LTV customers
Advertising to users similar to your current high-LTV customers
Advertising to users on Display and YouTube who are randomly searching for keywords
By advertising to users on Display and YouTube randomly searching for keywords
Advertising to users on Display and YouTube randomly searching for keywords
Advertising to users who appear to be in market for your competitors' products
By advertising to users who are in market for your competitors' products
Advertising to users who are in market for your competitors' products
Advertising to users who were created manually based on marketing strategy segmentation
By advertising to users created manually based on marketing strategy segmentation
Advertising to users created manually based on marketing strategy segmentation

How does optimized targeting identify new, high-performing audiences?

It optimizes some of the campaign settings — such as geo and language — to expand the reach to a broader audience.
It changes some of the campaign settings like geo and language to offer a wider targeting for the audience.
It uses Customer Match audiences from other accounts in the same category of the client and applies that information to find new users.
It uses Customer Match audiences from other accounts in the same category of the client, leveraging that information to find new users.
It builds from existing targeting inputs, including the client's first-party data, while being powered by privacy-forward machine learning models.
It builds off of existing targeting inputs, including the client's first-party data, while being powered by privacy-forward machine learning models.
It scrapes the client’s landing page using an algorithm to find keywords that improve the quality score of the bid.
It uses algorithms that collect data from the landing page of the client to find keywords that improve the quality score of the bid.

Your client wonders what they’ll get out of linking Google Analytics and Google Ads.

What main benefit would you share with them to show the value of doing so?

You can capture user information built on third-party cookies that would otherwise be inaccessible.
They can capture user information built on third-party cookies that otherwise couldn’t be accessed.
You can increase the profit margin of the customer by looking at Analytics' recommended target ROAS for each campaign.
They can increase the customer’s profit margin by looking at Analytics' recommended target ROAS for each campaign.
You can use the event data you capture for app install and conversion tracking.
They can use the event data captured for app install and conversion tracking.
You can download unified reports of Analytics and Ads data that can be integrated in the customer's CRM.
They can download unified reports of Analytics and Ads data that can be integrated in the customer's CRM.

How does Smart Bidding drive performance in a privacy-safe way?

It delivers maximum performance against a client's goals by filling in any gaps in measurement with third-party cookies and pixels.
It uses a client’s account conversion data along with billions of signal combinations to set precise bids in each auction.
It improves the reach of Display, Video, YouTube, and Gmail campaigns so clients can tap new audience lists across channels.
It allows clients to reach new consumers using auto-generated Similar Audience lists that they can export to third-party exchanges.

Your client would like to improve their marketing strategy with privacy-centric solutions.

If a client wants to enhance their marketing strategy, which three durable solutions can they adopt today to start that process?

Enhanced conversions, Google Firestack, and Consent Mode
Universal Analytics, enhanced conversions, and Consent Mode
Google Analytics 4, enhanced conversions, and Consent Mode
Universal Analytics, Google Firestack, and Consent Mode

Activate their data using complex manual systems, like network-based remarketing.
Use complex manual systems, such as network-based remarketing, to activate their data.
Adopt tools for tracking app-to-web behavior across all OS devices.
Launch a program that tracks app-to-web behavior across all OS devices.
Start developing robust third-party inventories with key ad network partners.
Develop comprehensive third-party inventories with key ad network partners.
Reduce data loss by measuring data accurately through enhanced conversions.
Use enhanced conversions to measure data accurately and mitigate data loss.

Why might some people continue to use Google Analytics for Firebase instead of Google Analytics 4, despite both using the same SDK?

Some app developers continue to use Google Analytics for Firebase because it's app-focused and it eases most of the deep-linking processes.
App developers might continue to use Google Analytics for Firebase because it's app-focused and it eases most of the deep-linking processes.
Unlike Google Analytics 4, Google Analytics for Firebase is compliant with privacy regulations specific to app developers, making it a more useful platform in certain cases.
Unlike Google Analytics 4, Google Analytics for Firebase is compliant with privacy regulations specific to app developers, making it a more useful platform in some cases.
Some marketers working with clients whose consumers are Android device users might prefer Google Analytics for Firebase over Google Analytics 4.
Marketers might prefer to use Google Analytics for Firebase if they're working with clients whose consumers are Android device users.
Analysts prefer using Google Analytics for Firebase due to its reporting tools and better UI, even though the same SDK powers both experiences.
Even though the same SDK powers both experiences, analysts prefer to use Google Analytics for Firebase due to its reporting tools and better UI.

How does the advertiser identity verification program benefit users?

They can give consent for data collection to the advertiser.
The ability to give consent for data collection to the advertiser
They can access advertiser reviews from the ad.
The ability to access advertiser reviews from the ad
They can see who's responsible for the ads they are shown.
The ability to see who's responsible for the ads they are shown.
They can contact the advertiser directly.
The ability to contact the advertiser directly

The Privacy Sandbox supports which two key advertising use cases?

Select 2 Correct Responses

Re-engaging audiences
Interest-based advertising
Content personalization on all devices
Seamless data-sharing with advertising brands

What's true of the Google Analytics 4 data deletion feature?

You can remove an individual user’s data or specific fields within a Google Analytics 4 property.
It has the option to remove an individual user’s data or specific fields within a Google Analytics 4 property.
You can submit a request to delete individual user data to be completed within 2-3 business days.
It allows businesses the ability to submit a request to delete individual user data and be completed within 2-3 business days.
You can reject or approve a request from a user to delete their information from your database.
It has the option to reject or approve the request from a user to delete their information from their database.
You can delete negative reviews about your business within Google.
It offers the ability to delete negative reviews about their business within Google.

To measure campaign performance without third-party cookies, which Privacy Sandbox API should be used?

Which Privacy Sandbox API will support measuring campaign performance without third-party cookies?

FLOC
Attribution Reporting API
Topics
FLEDGE

An advertiser would like to continue serving relevant messages to prospective customers without using third-party cookies.

To unite all non-keyword related Google advertising into one automated cross-product, which campaign type should be used?

Performance Max Campaigns to combine the best-in-class automation technologies across bidding, targeting, creatives, and attribution to drive growth in conversions and value
Use Performance Max Campaigns to combine best-in-class automation technologies across bidding, targeting, creatives, and attribution to help drive growth in conversions and value.
App Campaigns for driving consumers to download, take certain actions, or increase their use of an app at the target cost per download/action or target ROAS
Use App Campaigns to drive consumers to download, take certain actions, or increase their app use at the target cost per download/action or the target ROAS.
Video Action Campaigns to help drive more conversions from YouTube
Use Video Action Campaigns to drive more conversions from YouTube.
Smart Shopping Campaigns for driving eCommerce revenues at the target ROAS
Use Smart Shopping Campaigns to drive eCommerce revenues at the target ROAS.

What will allow Smart Bidding to remain effective after third-party cookies are deprecated?

What makes Smart Bidding a durable solution that can continue to be effective after the deprecation of third-party cookies?

It will continue to be a durable solution given its reliance on first-party cookies.
Because it relies upon first-party cookies.
It will remain durable since it's fueled by combining clients’ conversion data with Google’s machine learning.
It’s fueled by combining clients’ conversion data with Google’s machine learning.
It will remain durable because clients will rely on third-party media platforms for bidding.
Because clients will rely on third-party media platforms for bidding.
It will continue to be a durable solution because of its reliance on the UID 2.0 solution.
It relies upon the UID 2.0 solution.

Which advice should you give to a customer who wants to invest in a durable first-party data strategy?

Your customer is looking to invest in a durable first-party data strategy. What advice should you give to them?

They should consider capturing device IDs to mitigate any signal loss from third-party cookies.
Start capturing device IDs to reduce any signal loss from third-party cookies.
They should consider investing more in third-party data to round out their first-party data strategy.
Increase the budget for third-party data gathering to complement their current first-party datasets.
They should consider changing landing page strategy and moving email sharing forward to get a higher percentage of emails.
Revamp the landing page strategy and move email sharing forward to get a higher percentage of visitor emails.
They should consider offering high discounts in exchange for their consumers' emails to build their first-party database.
Offer high discounts in exchange for visitors’ emails to grow a first-party database.

Which key levers would you recommend to strengthen user trust?

Transparency, security, control, and usefulness
Security, transparency, control, and usefulness
Transparency, control, personalization, and data collection
Data collection, transparency, control, and personalization
Security, usefulness, data collection, and cross-site identifiers
Usefulness, cross-site identifiers, security, and personalization
Control, usefulness, personalization, and cross-site identifiers
Usefulness, control, personalization, and cross-site identifiers

What step should a marketer take when they can’t tie a subset of conversions to ad interactions?

Avoid buying impressions on browsers or device types that make it harder to measure.
Work with partners who might be able to fill the gaps using fingerprinting and alternative ID solutions.
Update Smart Bidding campaigns every day to avoid waiting for the algorithm to learn and adjust.
Use conversion modeling to get a more comprehensive picture of advertising performance.

Which of the following explains a heavy-up geo-experiment strategy?

The treatment group budget remains the same while the budget of the control group is suppressed.
It keeps the treatment group budget the same while suppressing the control group budget.
The treatment group budget remains the same while the budget of the control group is increased.
It keeps the treatment group budget the same while increasing the control group budget.
The treatment group budget is suppressed while the budget of the control group remains the same.
It suppresses the treatment group budget while keeping the control group budget the same.
The treatment group budget is increased while the budget of the control group remains the same.
It increases the treatment group budget while keeping the control group budget the same.

Privacy for Agencies and Partners Certification Exam Answers

What type of data does Smart Bidding use to optimize toward business goals?

By vmartinez

What type of data does Smart Bidding use to optimize toward business goals?

Second-party data
Third-party data
Google data
First-party data

Explanation:

Smart Bidding uses first-party data to optimize toward business goals. This type of data, which includes conversion data such as sales or leads, is collected directly from interactions with a business’s own properties. By leveraging first-party data, combined with Google’s machine learning algorithms, Smart Bidding can set precise bids in each auction, enhancing performance while maintaining privacy compliance.

Which of the following describes FLEDGE most accurately?

By vmartinez

Which of the following describes FLEDGE most accurately?

Calculates users’ top five most frequented topics based on the participating sites they’ve visited.
Matches conversion events to the initial ad logged, giving it partial credit.
Measures user behavior online and replaces third-party cookies.
Supports re-engagement with users based on their actions on a website or app.

Explanation:

FLEDGE (First Locally-Executed Decision over Groups Experiment) supports re-engagement with users based on their actions on a website or app. It allows advertisers to show ads to users who have previously expressed interest in a product without tracking their behavior across different websites. This privacy-preserving technology stores remarketing list membership locally on the user’s browser or device and uses on-device auctions to determine which ads to display, ensuring user privacy.

Which of the following are three use cases for the Privacy Sandbox?

By vmartinez

Which of the following are three use cases for the Privacy Sandbox?

Gaining customer consent
Re-engaging audiences
Performance measurement
Interest-based advertising

Explanation:

The Privacy Sandbox supports several key advertising use cases. It helps in re-engaging audiences through the FLEDGE API, measures performance with the Attribution Reporting API, and facilitates interest-based advertising via the Topics API. These technologies are designed to protect user privacy while enabling effective advertising strategies by providing tools that replace traditional third-party cookies.

What are the key trust levers to gain user’s trust?

By vmartinez

What are the key trust levers to gain user’s trust?

Personalization
Security
Usefulness
Control
Transparency

Explanation:

To gain users’ trust, it is essential to focus on security, transparency, control, and usefulness. Security involves protecting personal information and ensuring data safety. Transparency means being clear about data usage practices. Control allows users to manage their data preferences easily. Usefulness ensures that data usage translates into relevant and beneficial experiences for users. These levers help build a trustworthy relationship between businesses and users.

What should marketers strive to give users?

By vmartinez

What should marketers strive to give users?

The ability to opt out of all ads and cookies, at all times.
Controls only when they absolutely need them.
Personalized experiences based on their browsing history.
Helpful, in-the-moment controls that empower them to choose the ad experience that’s right for them.

Explanation:

Marketers should strive to provide users with helpful, in-the-moment controls that empower them to choose the ad experience that suits them best. This approach respects user privacy and preferences, helping to build trust and ensuring that users feel in control of their data. By offering such controls, businesses can create more personalized and satisfactory experiences while maintaining compliance with privacy regulations.

Which of the following statements is true?

By vmartinez

Which of the following statements is true?

Every conversion or customer brings equal value to a business. By assigning a value to every transaction, you can improve your CTR.
Marketers and agencies don’t rely heavily on Smart Bidding to maximize campaign performance.
Smart Bidding uses third-party data to support your client’s first-party data and drive as many conversions as possible.
Smart Bidding drives as many conversions as possible, to maximize your client’s ROI or budget target.

Optimized targeting builds off existing targeting inputs, including first-party data and third-party data, to find new, high-performing Google audiences for clients.
Optimized targeting builds off automated targeting, based on your client’s first-party data, to find new, high-performing Google audiences for clients.
Optimized targeting builds off existing targeting inputs, including first-party data contextual signals from cookies, to find new, high-performing audiences for clients.
Optimized targeting builds off existing targeting inputs, including your client’s first-party data, to find new, high-performing Google audiences for clients.

Explanation:

Smart Bidding uses a client’s account conversion data combined with Google’s machine learning algorithms to set precise bids in each auction. This approach aims to drive as many conversions as possible to maximize ROI or meet budget targets. It leverages first-party data and billions of signal combinations to optimize performance, ensuring effective and privacy-safe ad campaigns.