Google Ads AI-Powered Performance Ads Certification Answers

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The Google Ads AI-Powered Performance Ads Certification program offers a fantastic opportunity for marketers to delve into the cutting-edge world of AI-driven advertising. Having personally undergone the certification process, I can attest to its value in providing a comprehensive understanding of how AI can revolutionize digital advertising strategies. From optimizing bids to maximizing conversions, this certification equips you with the knowledge and skills needed to harness the full potential of AI in driving campaign performance.

Passing exams is not a workout. Multiple attempts won’t make you stronger.

Preparing for the certification exam can be a daunting task, but with the right resources, it becomes much more manageable. Our guide, containing a curated collection of exam questions, answers, and detailed explanations, serves as an invaluable tool in your preparation journey. By utilizing this guide, you not only familiarize yourself with the exam format but also gain deeper insights into the underlying principles and strategies behind AI-powered performance advertising. With our guide by your side, you can approach the exam with confidence, knowing that you’re well-equipped to tackle any challenge that comes your way.

I highly encourage aspiring marketers to take advantage of the Google Ads AI-Powered Performance Ads Certification program and leverage our guide to streamline their preparation process. Whether you’re looking to enhance your skillset, advance your career, or stay ahead of industry trends, this certification serves as a testament to your expertise in the dynamic field of digital advertising. Don’t miss out on the opportunity to elevate your credentials and unlock new possibilities in your professional journey.

Get familiar with the exam questions:

A local dessert chain is looking to improve its Google Ads campaign performance across its accounts. What are two ways it can use its optimization score to improve its campaigns? (Choose two.)

  • By determining the extent to which campaigns can be improved and how to go about making improvement
  • By the review and dismissal of recommendations that are relevant to their goal to save time optimizing campaigns
  • By accepting and immediately applying recommendations tailored to their business, which can save time
  • By measuring their score at the individual account level but not their manager account level

Explanation: The correct answer options are “By determining the extent to which campaigns can be improved and how to go about making improvement” and “By accepting and immediately applying recommendations tailored to their business, which can save time.” The optimization score in Google Ads serves as a valuable tool for assessing the performance and potential enhancements of campaigns. By understanding the extent to which campaigns can be improved, businesses can prioritize their optimization efforts effectively, allocating resources where they are most needed. This not only enhances the overall performance of campaigns but also streamlines the optimization process. Additionally, by accepting and promptly implementing recommendations tailored to their specific business needs, companies can save valuable time that would otherwise be spent manually fine-tuning their campaigns. This approach ensures that optimization efforts are targeted and efficient, leading to better campaign outcomes. Therefore, these two options capitalize on the optimization score’s insights to drive meaningful improvements in campaign performance and streamline the optimization process, aligning with the goals of the local dessert chain to enhance their Google Ads campaign performance.

A chain of regional bookstores is looking to drive more value from their Google Ads campaigns by creating a value-based bidding strategy for the first time. Which best practice should they follow first in order to get started?

  • Begin with a strong measurement and attribution strategy based on their goals.
  • Enable a volume-based Smart Bidding strategy in all campaigns.
  • Create a value-based Smart Bidding strategy in their top two campaigns.
  • Build a large list of negative keywords to tailor traffic and eliminate uninterested consumers.

Explanation: The correct answer option is “Begin with a strong measurement and attribution strategy based on their goals.” Before implementing any bidding strategy, it’s crucial for the chain of regional bookstores to establish a robust measurement and attribution strategy aligned with their objectives. This step lays the foundation for effective value-based bidding by providing clear insights into the performance metrics that matter most to the business, such as return on ad spend (ROAS) or lifetime value (LTV) of customers. By understanding their goals and how different metrics contribute to their success, the bookstores can tailor their bidding strategy to prioritize value-driven outcomes. Additionally, a comprehensive measurement and attribution strategy enables them to accurately track the impact of their advertising efforts across various touchpoints, helping to optimize bidding decisions based on real-time performance data. Therefore, starting with a strong measurement and attribution strategy ensures that the chain of regional bookstores can make informed decisions when implementing value-based bidding, ultimately driving more value from their Google Ads campaigns.

Which metric is used for value measurement?

  • Page depth
  • Time spent on site
  • Cost-per-click
  • Cart size

Explanation: Your explanation is spot on! By beginning with a strong measurement and attribution strategy, the chain of regional bookstores sets the stage for effective value-based bidding in their Google Ads campaigns. This strategy ensures alignment with their goals and provides essential insights into performance metrics like ROAS or LTV, allowing them to tailor their bidding approach for maximum value. Moreover, it empowers them to track the impact of their advertising efforts accurately across various touchpoints, facilitating informed bidding decisions based on real-time performance data. This approach ultimately enables the bookstores to drive more value from their Google Ads campaigns by optimizing their bidding strategy to prioritize value-driven outcomes.

A digital marketing manager working with a national insurance provider hopes to support AI using first-party data. Before they can start using the data, what question do they need to answer?

  • Is there a way our data collection policies can be modified to encourage customers to share as much as possible?
  • What are the data storage capabilities for each marketing team member’s organizational device?
  • How can we start to use this data as quickly as we can, even at the expense of alignment with other teams?
  • Are we aligned with local regulations on data collection and user privacy to ensure we are properly using first-party data?

Explanation: The correct answer option is “Are we aligned with local regulations on data collection and user privacy to ensure we are properly using first-party data?” Before the digital marketing manager can utilize first-party data to support AI initiatives for the national insurance provider, ensuring compliance with local regulations on data collection and user privacy is paramount. This question reflects the critical need for organizations to prioritize data privacy and adhere to relevant regulations such as GDPR or CCPA. By confirming alignment with these regulations, the insurance provider demonstrates a commitment to ethical data practices and mitigates the risk of legal repercussions or damage to brand reputation. Moreover, ensuring compliance fosters trust among customers, reassuring them that their data is handled responsibly, which can encourage greater engagement and data sharing in the long run. Therefore, answering this question is crucial to laying a solid foundation for leveraging first-party data effectively and ethically to support AI-driven initiatives in digital marketing for the insurance provider.


Below you’ll find a list of questions from the real Google Ads AI-Powered Performance Ads assessment test. Learn Smarter.

What’s a benefit of using broad match keywords?

  • Broad match allows marketers to reach the most possible consumers searching for their product or service, while saving time from adding a variety of keywords.
  • Broad match ensures the core concept of a keyword is present in the search term while reaching similar volume to what exact match keywords would provide.
  • Broad match offers marketers a great deal control over the specific search terms that ads match to, and volume may be limited.
  • Broad match keywords must be present alongside both exact match and phrase match keywords in any ad group to ensure high performance.

What are two ways that the Insights page can help a marketer simplify performance evaluation workflows? (Choose two.)

  • Identify drivers of a campaign’s week-on-week and month-on-month performance.
  • Provide explanations to understand performance fluctuations in campaigns.
  • Automatically pause campaigns that have low ad strength or limited budget.
  • Share competitor ad performance data to help marketers adapt and grow their business.

What’s a best practice when building an account structure designed to improve the performance of AI-powered solutions?

  • Focus account structure on business goals, not channel silos.
  • Create as many campaigns as possible to achieve business goals.
  • Segment account structure by device and match type to customize creative.
  • Design campaigns around specific manual optimizaton levers.

What are two ways that the Combination and Assets Report can help a marketer improve their creative assets’ performance? (Choose two.)

  • Identify opportunities to replace low-performing assets with assets that have better potential.
  • Use high-performing assets as inspiration for future creative assets.
  • Identify new keywords to add to a campaign to improve asset reach.
  • Uncover budget limitations that may be restricting assets from showing in auctions.

A digital marketing manager notices the Ad Strength rating of their Responsive Search Ads could be improved. What action can they take to improve Ad Strength?

  • They can create more unique headlines and descriptions.
  • They should avoid using popular keywords in headlines and descriptions.
  • They can use the Keyword Insertion tool to identify new keyword ideas.
  • They should use the Ad Strength tool to learn more about how to create a Responsive Search Ad.

A digital marketing manager is looking to use Performance Planner to create his budget plans. What are two ways that Performance Planner can help him with budget planning? (Choose two.)

  • Forecast the impact of different budgets to understand how performance may change.
  • Identify the opportunity size for upcoming seasonal periods of increased sales.
  • Understand which billing method is best suited for an account.
  • Review how much each keyword in a campaign has spent over the past month.

A local automobile dealership is creating a Performance Max campaign to drive more visits to their location. Which goal should they choose when setting up a new Performance Max campaign?

  • Local store visits and promotions
  • Brand awareness and reach
  • Product and brand consideration
  • Website traffic

How does a test-and-learn mindset allow marketers to find success with Google’s AI?

  • Encourages teams to break down silos and quickly identify solutions.
  • Fuels competition across the organization.
  • Allows leaders to identify low performers more quickly.
  • Helps teams test multiple business objectives at the same time.

Which of the following is considered a best practice when creating effective image assets?

  • Always upload four or more relevant and unique images at the campaign or ad group level.
  • Keep the most important content in the center 50% of the image asset.
  • Only provide square images to maximize how often assets can serve.
  • Choose images with a white background as they tend to have stronger performance.

What’s a best practice to follow when designing an experiment to test Performance Max campaigns?

  • Optimize Performance Max to a comparable CPA or ROAS target to other campaigns.
  • Run the Performance Max experiment for one to two weeks before evaluating results.
  • Keep Performance Max budget limited to 10% of other campaigns’ budgets.
  • Create a new CPA or ROAS goal for Performance Max campaigns to achieve.

Why is it important to uncap budgets to fully capture the benefits of Google’s AI?

  • Campaigns need sufficient budget headroom to allow Google’s AI to work to its fullest potential.
  • Campaigns that adopt Google’s AI spend more money to reach more customers.
  • A Smart Bidding strategy will revert to manual bidding when a campaign’s budget is limited.
  • Google’s AI will only work in newly created campaigns with budgets of $1,000 per day or more.

How can Explanations be used to help improve campaign performance?

  • To uncover the reasons behind performance changes in just a few clicks
  • To browse headline and description recommendations to create stronger ads
  • To identify the ideal budget level a campaign needs to maximize performance
  • To show the top asset combinations for each campaign type in an account

An online shoe retailer is looking to create a Performance Max campaign to help drive sales in their sneaker category. How should they get started with Performance Max?

  • Build strong creatives customized to their sneaker products or offers.
  • Separate their Google Merchant Center account from their Google Ads account to avoid overlap.
  • Use any Smart Bidding strategy to make bids across channels with AI.
  • Limit sharing audience data in order to allow AI to operate without human input.

Which AI-powered solution offers the greatest channel and inventory coverage of any Google Ads campaign?

  • Performance Max campaigns
  • Video campaigns
  • App campaigns
  • Search campaigns

What is the value of running a true A/B test with campaign experiments?

  • In an A/B test, trial campaigns run at the same time as the original campaign, controlling for external factors (e.g. seasonality) that may otherwise bias results.
  • An A/B test runs one campaign at a time, allowing a true ramp-down period between each testing timeframe to declutter results.
  • A/B tests can help marketers understand if their trial campaign drove user action that wouldn’t have occurred otherwise.
  • An A/B test is designed to test multiple variables at one time, allowing advertisers to learn and quickly adjust their campaigns based on findings.

A digital marketing manager knows that their organization has a fixed annual budget for the upcoming year. In order to test new initiatives, they will need some flexibility to create campaign experiments. Which best practice should they follow in order to create budget flexibility within their clearly defined annual budget?

  • Plan ahead by setting aside a percentage of budget to be used for testing and reacting to market changes.
  • Send a quarterly budget review to their supervisor to request additional budget for testing in the upcoming quarter.
  • Set up a monthly or weekly sync with the finance team to share opportunities and results to encourage budget flexibility and collaboration.
  • Review industry reports to predict query demand for the coming year and what budget level will be required.

What is conversion delay?

  • The amount of time between a user clicking an ad and that user completing a conversion action on a site, or, an advertiser uploading an offline conversion
  • The number of days it takes a newly adopted Smart Bidding strategy to ramp up after a campaign’s first recorded online or offline conversion
  • The period of time it takes an advertiser to properly create a conversion measurement strategy for their Google Ads account
  • The load time of the website page used to measure online conversion actions for the advetiser’s site, such as an order confirmation page

How can a Performance Max campaign find new consumers for an advertiser?

  • Promote a product or service across nearly all Google Ads inventory with a single campaign
  • Use AI to allocate budget to specific channels, such as Search and YouTube.
  • Create the opportunity for advertisers to build and manage individual text, image, and video ads
  • Manually optimize campaigns across channels with insights into performance drivers

What’s a common budget strategy in traditional marketing organizations?

  • Fixed annual budgets that do not change even if demand fluctuates throughout the year
  • Fully flexible budgets based on stock price performance
  • Quarterly budgets that do not need approval to increase
  • No set budget for a time period or initiative

A marketer wants to use Google’s AI solutions to drive more value from their marketing. They know they need to fuel AI with their own privacy-safe data. Which reason describes why their data is valuable to fueling AI?

  • It’s high-quality and captures customer transactions that drive business results.
  • It’s a strong indicator of industry-wide performance for machine learning.
  • It’s similar to competitor data and can be used to understand how others are performing.
  • It’s easily replicated by multiple teams within their organization.

Which of the following is considered a best practice when creating a campaign experiment?

  • Focus tests on one variable at a time and use separate tests to examine the effects of more than one change.
  • After an experiment ends, evaluate performance over a timeline that includes the ramp-up period.
  • When experimenting with creatives, new ads are not subject to ad approvals, so experiments can be expedited.
  • Pick two or three metrics to evaluate campaign performance and determine the winner of a test.
  • Search trends and demand forecasts
  • Asset audience insights
  • Search terms report
  • Diagnostic insights

How can advertisers, with the marketing objective of generating leads, optimize their Performance Max campaigns for value?

  • Create a strategy of importing offline values by using enhanced conversions for leads.
  • Build value rules based on audiences known to visit a local store.
  • Create a Maximize Clicks bidding strategy to drive website traffic volume.
  • Use a Maximize conversions bidding strategy to drive conversion volume.

Which match type is the default match type to which all keywords are assigned?

  • Broad match
  • Phrase match
  • Exact match
  • Negative match

What’s a benefit of Responsive Search Ads?

  • Responsive search ads save time by creating one ad with multiple headline and description assets that can be shown in different configurations to different users.
  • Responsive search ads allow advertisers to share their messages with more potential customers, by permitting ads to display properly for different device sizes.
  • Responsive search ads limit a marketer’s opportunity to compete in more auctions and match to more queries.
  • Responsive search ads review data to manually choose the best combination of headlines and assets to show users.

A local pizza chain is looking to improve their Google Ads campaign performance across their accounts. What are two ways that they can use their optimization score to improve campaigns? (Choose two.)

  • Identify how much existing opportunity for improvement their campaigns have and how they can be improved.
  • Save time by accepting and immediately applying recommendations tailored to their business.
  • Measure their score at the individual account level, but not their manager account level.
  • Review and dismiss recommendations that are relevant to their goal to save time optimizing campaigns.

What’s an example of a metric used to measure value?

  • Cart size
  • Cost-per-click
  • Page depth
  • Time spent on site

What efforts should digital leaders prioritize in order to support Google’s AI?

  • Build capabilities in key areas such as high-quality data and a skilled workforce.
  • Create firm budget processes to solidify digital marketing as an organization’s cost center.
  • Coach teams to avoid experimentation in order to eliminate risk and keep performance stable year-over-year.
  • Build highly specified silos within their organization to allow for specialization and multiple budget owners.

A digital marketing manager has upgraded their keywords to broad match. Which behavior should they build into their regular cadence of optimization to guide machine learning?

  • Remove negative keywords that may block relevant traffic.
  • Dismiss recommendations to add relevant new keywords.
  • Add Customer Match lists with data older than 90 days.
  • Create additional phrase and exact match keywords to improve reach.

Which of the following is considered a best practice when using Performance Planner?

  • When creating plans during seasonal periods, create month-by-month plans in the tool and regularly view the updated forecasts.
  • Check in on forecasts on an annual basis, as data can be skewed when it’s close to an industry’s peak seasonal period.
  • For maximum impact, create an annual forecast at the start of the fiscal year to determine budgets.
  • Use Performance Planner most during non-seasonal periods, as data may be less accurate in times of change.

What’s a common type of value definition used in value-centric measurement strategies?

  • Actual value
  • Intrisic value
  • Necessary value
  • Unique value

What’s a benefit of negative keywords?

  • Negative keywords prevent an otherwise eligible query from triggering an ad that isn’t aligned with the search’s intent.
  • Adding negative keywords can help prevent customers from leaving poor reviews about a business.
  • Marketers can add negative keywords to campaigns to limit the terms their competitors can bid on in an auction.
  • A negative keyword strategy is crucial to identifying additional searches that customers may be using to find a business.

Which Smart Bidding strategy optimizes for value?

  • Target ROAS
  • Maximize conversions
  • Maximize clicks
  • Target Impression Share

What’s an important benefit of opting into automatically applied recommendations?

  • Marketers select which recommendations are applied across an entire account or manager account, ensuring best practices are applied to all campaigns.
  • AI decides which recommendations to apply automatically to campaigns, without any need for human input.
  • Recommendations are based on the past week of data to react to the current market and avoid optimizations based on old data or settings.
  • Applying recommendations automatically will increase a campaign’s budget or reallocate budget between campaigns when necessary to improve performance.

An online retailer has a goal of increasing the value they see from their Search campaigns, and the Chief Marketing Officer has set a target return metric they need to achieve in the coming year. Which Smart Bidding strategy is the right fit for this organization?

  • Target ROAS
  • Target conversion value
  • Maximize clicks
  • Maximize conversions

What’s a best practice to follow when creating a Performance Max campaign?

  • Use the maximum number of text, image, and video assets possible
  • Limit the number of ad extensions within an asset group
  • Establish conversion tracking after a campaign has been running for two weeks
  • Avoid linking a Google My Business or Google Merchant Center feed

A digital marketer has upgraded their Smart Bidding strategy to value-based bidding. Which two Google Ads tools should they use regularly? (Choose two.)

  • Performance Planner
  • Ad strength rating
  • Keyword planner
  • Bid strategy report

A retailer is looking to grow their online sales this year. To do so, they plan to experiment with a few campaign optimizations to help them reach more customers.What’s the value of this retailer using campaign experiments to test campaign optimizations?

  • Campaign experiments can help marketers understand whether proposed changes help reach their desired marketing objective.
  • Campaign experiments allow marketers to measure the impact of campaign changes and revert back to original campaigns, if needed.
  • Campaign experiments randomly chooses how much Search traffic will be diverted to an experiment, guaranteeing statistically significant results.
  • Campaign experiments are used to test Google Ads campaigns against traditional media campaigns, like TV or print ads.

A local coffee shop is looking to drive more store visits from their Google Ads campaigns. Why should they consider using a Performance Max campaign?

  • A Performance Max campaign can help them find new valuable customers across Google Ads inventory through the use of AI.
  • Performance Max campaigns that include video ad formats allow advertisers to see an average increase of 13% total incremental conversions.
  • The manual creation of assets allows advertisers to spend time crafting their unique value proposition.
  • Advertisers can use Performance Max campaigns to choose the websites on which they show ads, which could result in more store visits from potential customers.

Which of the following tools can help marketers maximize performance of a value-based bidding strategy?

  • Target simulators
  • Ad strength rating
  • Diagnostic insights
  • Keyword planner

Which three Search features work together to drive performance in a fully AI-powerd strategy?

  • Smart Bidding, Responsive Search Ads, Broad match keywords
  • Phrase match keywords, Exact match keywords, Smart Bidding
  • Responsive Search Ads, Image Assets, Broad match keywords
  • Smart Bidding, Responsive Text Ads, Uncapped budgets

A digital marketing manager for a large retailer manages a fully flexible budget for their campaigns.Which best practice should they follow in order to maximize results from their flexible budget?

  • Use shared budgets and portfolio bid strategies to maximize campaign flexiblity and allow AI to do its work.
  • Create a separate budget for campaign experiments and unforeseen market changes.
  • Adjust performance targets monthly or quarterly to optimize AI-driven solutions.
  • Cap budgets at the average daily spend to eliminate unnecessary budget usage during seasonal periods.

A digital marketing manager working with a national insurance provider is looking to support AI with first-party data. What’s a question they’ll need to answer before they can start using the data?

  • How are we aligned with local regulations on data collection and user privacy to ensure we are using first-party data the right way?
  • How much data storage capability is available on each marketing team member’s corporate device?
  • How can our data collection policies encourage our customers to share as much as possible?
  • How can we begin to use this data as quickly as possible, even if it means not aligning with other teams?

Which marketing behavior can benefit from AI? (Choose three.)

  • Product-level testing and rotation
  • Adjusting bids during seasonal events
  • Reviewing marketing best practice checklists
  • Creative-level testing and rotation
  • Keeping bids consistent during seasonal events

What kinds of factors contribute to an optimization score recommendation being surfaced in an account?

  • Insights gained from machine learning and simulations that identify potential performance uplift based on a marketer’s business objective
  • The results of agorithms which identify the changes that would lead to the largest increase in campaign spend, irrespective of performance impact
  • Every type of recommendation is surfaced for every individual and manager account.
  • When advertisers need to expand their business objectives, recommendations are surfaced.

A digital marketing manager is transitioning their campaigns to a value-based bidding strategy. They want to drive more value from their campaigns, but need to operate within a fixed budget.Which Smart Bidding strategy is the right fit for this organization?

  • Maximize conversion value
  • Target ROAS
  • Maximize clicks
  • Maximize conversions

A chain of regional bookstores is looking to drive more value from their Google Ads campaigns by creating a value-based bidding strategy for the first time. Which best practice should they follow first in order to get started?

  • Begin with a strong measurement and attribution strategy based on their goals.
  • Enable a volume-based Smart Bidding strategy in all campaigns.
  • Create a value-based Smart Bidding strategy in their top two campaigns.
  • Build a large list of negative keywords to tailor traffic and eliminate uninterested consumers.

What are two key benefits of using the Insights page? (Choose two.)

  • Uncover new consumer insights such as rising search trends and new converting audiences.
  • Identify and diagnose performance issues to better run successful campaigns.
  • Optimize Search campaigns through insights specifically intended for that purpose.
  • Understand how much a marketer’s competitors are spending each week.

A marketer is looking to drive additional value from their lead generation campaigns next year. Why would value-based bidding be the right solution for them?

  • Value-based bidding uses AI to maximize total conversion value at a desired ROAS target or budget.
  • All consumers create the same amount of value, so value-based bidding will optimize for driving lead volume for her business.
  • Bidding towards value allows marketers to optimize for high-value customers and high volume of leads at the same time.
  • Using a value-based bidding strategy allows marketers to focus on maximizing website traffic to gain new potential consumers.

What’s a strong example of a business objective that is required when adopting an AI-powered solution?

  • Profit
  • Cost of goods sold
  • Marketing spend
  • Cost-per-click

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