Google Optimize Certified Partner Exam Answers

Google Optimize Certified Partner Exam Answers

 

A passing score is 80% (16 / 20) or higher.

 

We only have the questions , maybe we will get the answers in a fufure.

 

You've created an experiment that modifies the top navigation bar of a product page on an eCommerce site. How can you deploy the change across all product pages that include the URL string "/product"? *

Create a targeting rule for URLs > URL Contains > /product

Create a targeting rule for URLs > URL Equals > /product

Create a targeting rule for Behavior > First Page contains > /product

Set the Editor Page to an example product page on the site

 

On Day 1, a visitor on a page with an experiment with two variants sees "Variant 1". Two days later the visitor comes back to the same page. Which variant do they see? *

The visitor may see either "Variant 1" or "Variant 2" or the "Original" since this is a totally new session

The visitor may see either "Variant 1" or "Variant 2" since the experiment has 2 variants and this is a new session.

The visitor will always see "Variant 1" since they are assigned to it forever

The visitor will see "Variant 1" if the experiment is still running

 

An experiment with primary objective "Pageviews" is running on all "product" pages of a site (using a url regular expression rule). A visitor lands on the "home page", then goes to "product 1 page", next to "search results page" and finally to "product 2 page".

How many pageviews will be attributed? *

Only 2 pageviews will be attributed to the experiment "product 1 page" and "product 2 page"

All 4 pageviews will be attributed to the experiment since they belong in an "experiment session"

Only "product 1" pageview will be attributed to the experiment since it's the one that the experiment was first run on

3 pageviews, "product 1" "search results" and "product 2" since they happened after the user entered the experiment (in product 1 page)

 

An experiment runs on the "special offers" page where a visitor lands coming from an ad. The visitor visits the site once a day for the next 20 days while the experiment still runs and averages about 10 pageviews per day. The visitor finally converts on the "checkout page" on the last day with a goal that is the experiment's primary objective. How many sessions, pageviews, and conversions are attributed to the experiment? *

Just 1 session 1 pageview and no conversions were attributed in the experiment. Only the inital visit on the page where the experiment runs matters.

Only 1 session, about 10 pageviews and no conversions were attributed to the experiment because only the first session matters

20 sessions, about 200 pageviews and the conversion were attributed to the experiment since it was still running. Any sessions and pageviews after that will still be attributed while it keeps running

Only 2 sessions, 20 pageviews and no conversion were attributed to the experiment since they happen in 24 hours since the initial visit where the experiment did run.

 

You want to change all "single quotes" in button labels to "double quotes". What is the simplest and more effective way to do it? *

Select all buttons using the editor and do a "Javascript change" that applies to all of them

It's not possible to do something like this using the editor - only the Javascript API can be used for this use case.

You can "Run Javascript" on the root body element and use code to find the buttons and change their label. This will be faster since the code will run just once when the page is ready.

You can do it in the editor by clicking each button individually and make a text change for each. Even if the button labels are not static, Optimize will detect what you are trying to do and adapt.

 

When is it better to use Optimize Server side experiments vs the Optimize JavaScript API? *

When you have only have page targeting rules and the changes you want to make are cumbersome with the Optimize editor

The JavaScript API is always better than server side experiments if you have scripting expertise

When you want to edit your CMS using the Optimize editor

When you want the highest performance and you do not want expose targeting conditions or experiment implementation

 

What is the difference between the Editor Page and the page targeting rule? *

The Editor Page determines where the experiment will execute, the page targeting rule is exclusively used for building variants in the Optimize Editor.

There is no difference. The Editor Page and the page targeting rule both determine where the experiment will execute.

The Editor Page is exclusively used for building variants in the Optimize Editor, the page targeting rule determines where the experiment will execute. They do not need to be the same.

 

What is the impact of linking an Analytics view to an experiment? *

Data from the selected View is used to report on the Optimize experiment

There is no impact

Optimize 360 customers are billed based on the hits from the linked View

Data from the selected View determines who can see the experiment, regardless of targeting settings

 

What is the recommended Optimize account structure for a midsize company with distinct, non-overlapping business units, each with a different site? *

An Optimize account per business unit with one container for the website within each account.

A single Optimize account for the company with one combined container for all of the business units.

A single Optimize account for the company with a separate container per website.

Any of the above.

 

How can you ensure that a client's employees that see an experiment are not included in the experiment reporting? *

Link the Optimize experiment to an unfiltered Analytics View. Apply a segment to the Optimize reports that excludes employees based on internal IP address.

Link the Optimize experiment to a User ID enabled Analytics View.

Link the Optimize experiment to an Analytics View with a filter that excludes internal IP addresses.

All of the above.

 

An experiment has been running for enough time to include a regular cycle of site traffic and you see that a variant has the probability to beat baseline of 96%. What is an appropriate next step? *

Continue running the experiment until a variant has the Probability to Beat Baseline of 100%

End the experiment since a variant has the Probability to Beat Baseline of >95%

No action required. Experiment will end when Probability to Beat Baseline of a variant is 100%

 

How is the Experiment Sessions metric defined? *

The Experiment Sessions metric includes every session where at least one hit of the session was part of the experiment, as well as every future session for the user as long as the experiment is active (even if the user does not see the experiment again)

The Experiment Sessions metric includes sessions where every hit of the session was part of the experiment.

The Experiment Sessions metric includes every session where at least one hit of the session was part of the experiment, as well as every future session for the user for 90 days after the experiment is ended (even if the user does not see the experiment again)

The Experiment Sessions metric includes every session where at least one hit of the session was part of the experiment.

 

You've started running an experiment but no data is being collected. Which of these could be possible reasons for the data not being collected? *

The Optimize snippet is not installed.

The anti-flicker snippet timeout is being exceeded, so users are not being included in the experiment.

Experiment hasn't seen any traffic due to narrow targeting or low inclusion rules.

All of the above

 

What does the anti-flicker snippet do? *

It prevents the flash of original content by hiding the original content until the Optimize container loads or configurable timeout is reached

It forces the page to stop loading until the Optimize container has loaded

It increases the speed of the original page

 

The anti-flicker snippet has a default 4 second timeout. What does that mean? *

The page is blocked from loading for 4 seconds

The original content is hidden until the Optimize container loads or until 4 seconds, whichever is earliest.

The Optimize container will take up to 4 seconds to load

 

How do you set up the Optimize tag in Google Tag Manager? *

Trigger the Optimize tag using the "All Pages" trigger.

Do not add any triggers to the Optimize tag and make the Optimize tag a setup tag for the Universal Analytics tag(s) triggered on pageview.

Make the Universal Analytics tag that sends the pageview as the setup tag for the Optimize tag.

Trigger the Optimize tag using "All Pages" trigger and set it as a setup tag for the Universal Analytics tag that sends the pageview.

 

A client would like to target an experiment to users coming from a new search Ads campaign. What is the easiest way to set this up? *

Create a targeting rule for Behavior > First Page equals > {Google Ads landing page}

Create a targeting rule for an Analytics Audience that contains a condition for Landing Page > {Google Ads landing page}

Set up the native Google Ads integration and ad campaign targeting rule in the experiment

 

What is the statistical methodology used by Optimize? *

Optimize uses a Bayesian method to determine results in experiments.

Optimize uses a frequentist method to determine results in experiments

Optimize uses both Bayesian and frequentist methods in experiments

 

You have a winning variant in an experiment and you want make it live as soon as possible. What is the best way to do this? *

Stop the experiment. Make a copy and run it with 100% of traffic to the winning variant.

Turn the winning experiment variant into an Optimize personalization with one click.

Change the traffic on the winning variant to 100%

 

If you have 2 personalizations and 1 experiment running on the same page, what is the order of execution? *

The order of execution is random

Experiment will execute first followed by personalizations

Personalizations will execute first followed by the experiment. Among the personalizations, the order is by when it was created