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Google AI-Powered Shopping Ads study materials
Google AI-Powered Shopping Ads study resources

Google AI-Powered Shopping Ads practice questions

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Question 1Shopping ads

In Google AI-Powered Shopping Ads, what is the primary role of the product feed submitted through Google Merchant Center?

  1. It replaces the need for any website landing page
  2. It stores customer payment details used for checkout on the ad
  3. It sets the daily budget for each Shopping campaign
  4. It supplies the product data that powers ad creation, targeting, and bidding Correct answer.

Explanation

The Merchant Center feed is the data backbone: product titles, descriptions, images, prices, and availability flow into Shopping campaigns and inform matching, creative assembly, and bidding signals. Payment data and budgets are configured elsewhere, and a landing page is still required.

Question 2Shopping ads

Which Merchant Center attribute most directly affects whether a product can be matched to a broad set of relevant search queries in a Shopping campaign?

  1. The sale price effective date
  2. The product title and description Correct answer.
  3. The maximum cost-per-click bid
  4. The product's shipping label

Explanation

Titles and descriptions are the main text signals Google uses to understand what a product is and match it to user queries. Shipping labels, price dates, and bids influence eligibility, cost, and delivery but are not the primary relevance text.

Question 3Shopping ads

A retailer wants Shopping ads to show only products that are in stock. Which feed attribute should be kept accurate to support this?

  1. Brand
  2. GTIN
  3. Availability Correct answer.
  4. Condition

Explanation

The availability attribute tells Google whether a product is in stock, out of stock, or on preorder, and it governs whether the item is eligible to serve. Brand, GTIN, and condition identify and classify the product but do not control stock-based eligibility.

Question 4Shopping ads

What distinguishes a standard Shopping campaign from a Smart Shopping campaign in the context of AI-Powered Shopping Ads?

  1. Standard Shopping campaigns serve only on Display Network placements
  2. Standard Shopping campaigns cannot use product feeds
  3. Smart Shopping automates bidding and ad placement across networks using Google's machine learning Correct answer.
  4. Smart Shopping requires manual bid adjustments for every product group

Explanation

Smart Shopping campaigns use automated bidding and asset combinations to serve across Search, Display, YouTube, and Gmail, optimizing toward conversion goals. Standard Shopping campaigns give advertisers more manual control over bids and structure and still rely on feeds.

Question 5Shopping ads

An advertiser's Shopping campaign is not serving any impressions despite an approved feed. Which cause is most plausible?

  1. The Merchant Center account has too many products listed
  2. The website uses HTTPS instead of HTTP
  3. The campaign's product groups have bids set to zero or products are disapproved Correct answer.
  4. The advertiser added negative keywords to a Search campaign

Explanation

Zero bids on product groups or product-level disapprovals in Merchant Center commonly block delivery even when the feed itself is approved. Feed size, HTTPS, and unrelated Search campaign negatives do not by themselves prevent Shopping impressions.

Question 6Shopping ads

Which metric best indicates how often a Shopping ad was clicked relative to how often it was shown?

  1. Impression share
  2. Conversion rate
  3. Clickthrough rate Correct answer.
  4. Return on ad spend

Explanation

Clickthrough rate is clicks divided by impressions and measures how compelling the ad was when shown. Conversion rate measures post-click actions, ROAS measures revenue per spend, and impression share measures how much eligible inventory was captured.

Question 7Shopping ads

A merchant sells shoes and wants to use product groups to bid differently on running shoes versus dress shoes. What is the recommended first step within a standard Shopping campaign?

  1. Create a separate Merchant Center account for each shoe type
  2. Set all product groups to the same bid and rely on Smart Bidding
  3. Subdivide the product group using a relevant attribute such as product type Correct answer.
  4. Delete the feed and rebuild it with only running shoes

Explanation

Product groups let advertisers partition inventory by attributes like product type, brand, or category so bids can differ by segment. Subdividing by a relevant attribute is the standard method; separate accounts or deleting the feed are unnecessary.

Question 8Shopping ads

What is the function of a Merchant Center product disapproval?

  1. It blocks the product from serving in Shopping ads until the issue is fixed Correct answer.
  2. It automatically raises the product's bid
  3. It temporarily lowers the product's price
  4. It converts the product into a local inventory listing

Explanation

A disapproval means the product violates a policy or has a data problem, so it is ineligible to serve in Shopping ads until corrected and reapproved. It does not change pricing or bids, and it is unrelated to local inventory conversion.

Question 9Shopping ads

An advertiser wants to promote a seasonal sale price on a subset of products for two weeks. Which approach uses feed data most appropriately?

  1. Remove the products from the feed during the sale
  2. Set a higher target ROAS for the entire account
  3. Change the base price permanently in the feed
  4. Use the sale price and sale price effective date attributes Correct answer.

Explanation

The sale price attribute with a sale price effective date lets merchants show a temporary promotional price for a defined window without altering the base price. Permanent price changes, feed removal, and account-wide ROAS changes do not target a timed promotion.

Question 10Shopping ads

Which statement accurately describes how AI-Powered Shopping Ads use machine learning for bidding?

  1. They bid only on branded queries to protect trademark terms
  2. They predict conversion likelihood and adjust bids to pursue the campaign goal Correct answer.
  3. They bid the same amount on every query regardless of intent
  4. They set bids only from manual advertiser rules with no automation

Explanation

AI-driven bidding evaluates signals such as query context, device, and audience to estimate conversion likelihood and set bids aligned to the campaign's goal. It is not purely rule-based, uniform across queries, or limited to branded terms.

Question 11Shopping ads

A Shopping campaign shows a high clickthrough rate but a low conversion rate. Which area should an advertiser investigate first?

  1. The color scheme of the advertiser's logo
  2. The number of negative keywords in unrelated campaigns
  3. The product landing page and price competitiveness Correct answer.
  4. The Merchant Center account creation date

Explanation

Strong CTR with weak conversions suggests the ad attracts clicks but the landing page or offer fails to close the sale, so page experience and pricing deserve first attention. Account age, unrelated negatives, and logo colors are unlikely explanations.

Question 12Shopping ads

What does the Merchant Center 'target country' setting determine for a product?

  1. The language of the advertiser's customer support team
  2. The country where the product is eligible to appear in Shopping ads Correct answer.
  3. The shipping carrier used for all orders
  4. The currency used for the advertiser's billing invoice

Explanation

Target country defines the market in which a product is eligible to serve in Shopping ads and must align with the feed's language, currency, and landing page. Billing currency, support language, and carrier selection are configured separately.

Question 13Shopping ads

An advertiser notices Shopping ads appearing for queries unrelated to the product's category. Which feed improvement is most likely to sharpen relevance?

  1. Adding specific, descriptive terms to titles and product types Correct answer.
  2. Increasing the daily budget substantially
  3. Removing all images from the feed
  4. Shortening every title to a single word

Explanation

Relevance depends heavily on descriptive text, so precise titles and product type values help Google match products to appropriate queries. Overly short titles lose signal, images do not affect text matching, and budget changes do not improve relevance.

Question 14Shopping ads

Which pairing correctly matches a Shopping campaign control with what it governs?

  1. Availability governs the campaign's daily budget
  2. Target ROAS governs the feed's shipping cost
  3. Product type governs the advertiser's billing threshold
  4. Priority setting governs which campaign bids when products overlap Correct answer.

Explanation

Campaign priority determines which campaign's bid applies when the same product is eligible in multiple campaigns. Target ROAS relates to bidding, product type is a feed attribute, and availability controls eligibility rather than budget.

Question 15Shopping ads

What is the purpose of linking a Google Ads account to a Google Merchant Center account for Shopping ads?

  1. To allow Merchant Center to manage keyword bids
  2. To enable product data from Merchant Center to be used in Shopping campaigns Correct answer.
  3. To convert Shopping ads into text ads automatically
  4. To transfer the advertiser's Google Ads budget into Merchant Center

Explanation

Linking lets Google Ads campaigns access the approved product data in Merchant Center so products can serve in Shopping ads. Budgets stay in Google Ads, Merchant Center does not manage keyword bids, and linking does not convert ad formats.

Question 16Shopping ads

A merchant's feed contains products with missing GTINs for items that have them. What is the most likely consequence?

  1. The products will always be disapproved permanently
  2. Products may be harder to match and may lose eligibility for certain features Correct answer.
  3. The advertiser's account will be charged a penalty fee
  4. The campaign's daily budget will be reduced automatically

Explanation

GTINs help Google identify and match products accurately, so missing identifiers for items that have them can reduce matching quality and eligibility for some features. It does not trigger automatic budget cuts or penalty fees.

Question 17Shopping ads

Which scenario best demonstrates the benefit of audience signals in an AI-Powered Shopping campaign?

  1. Using first-party customer data to help the system find similar high-value shoppers Correct answer.
  2. Removing all conversion tracking to simplify reporting
  3. Manually setting the same bid for every visitor
  4. Disabling the product feed to reduce data volume

Explanation

Audience signals such as first-party lists help machine learning identify and prioritize likely converters, improving targeting efficiency. Uniform bids, removing conversion tracking, and disabling the feed undermine optimization rather than help it.

Question 18Shopping ads

What does a product's 'condition' attribute communicate in a Shopping feed?

  1. The country where the product was manufactured
  2. Whether the item is new, refurbished, or used Correct answer.
  3. The maximum bid the advertiser will pay
  4. The product's shipping speed

Explanation

Condition tells shoppers and Google whether the item is new, refurbished, or used, which matters for trust and eligibility in some categories. It does not describe shipping speed, bidding, or manufacturing origin.

Question 19Shopping ads

An advertiser wants to compare performance across product categories within one Shopping campaign. What structure supports this analysis most directly?

  1. One single product group containing all products
  2. A single ad group with no product groups defined
  3. A separate Merchant Center account per category
  4. Product groups subdivided by category with reporting enabled Correct answer.

Explanation

Subdividing product groups by category lets advertisers see and bid on each segment separately, enabling category-level performance comparison. A single undivided group, separate accounts, or no product groups obscures segment differences.

Question 20Shopping ads

Which factor most directly determines whether a specific product is eligible to appear in a given Shopping ad auction?

  1. The number of employees at the merchant
  2. The advertiser's total number of website pages
  3. The product's approval status and feed data quality Correct answer.
  4. The age of the advertiser's Google Ads account

Explanation

Eligibility depends on the product being approved and having sufficient, accurate feed data to match the query and meet policy requirements. Website page count, account age, and company size do not determine product-level eligibility.

Question 21Shopping ads

What is the recommended way to handle products that are temporarily unavailable but expected back soon?

  1. Move them to a separate Merchant Center account
  2. Delete them from the feed permanently
  3. Mark them appropriately in the feed so eligibility reflects their status Correct answer.
  4. Raise their bids to maximum

Explanation

Reflecting true availability in the feed keeps product status accurate so Google can manage eligibility appropriately while the item is unavailable. Deleting products, inflating bids, or splitting accounts does not solve a temporary stock issue.

Question 22Shopping ads

Which statement about local inventory ads within the Shopping ecosystem is accurate?

  1. They require no store data of any kind
  2. They show products available at a nearby store to nearby shoppers Correct answer.
  3. They can only promote online-only products
  4. They replace the need for a product feed

Explanation

Local inventory ads use store-level inventory data to surface products available nearby, connecting online shoppers with physical stores. They depend on inventory data and a product feed rather than eliminating them, and they are not limited to online-only items.

Question 23Shopping ads

An advertiser observes that ROAS is strong on branded queries but weak on non-brand queries in the same Shopping campaign. What is the most useful next step?

  1. Stop tracking conversions entirely
  2. Delete all non-brand products from the feed
  3. Segment reporting and consider separate bids or budgets by query type Correct answer.
  4. Assume the campaign is healthy and make no changes

Explanation

Blended ROAS can mask segment differences, so separating branded and non-brand performance allows targeted bid or budget adjustments. Ignoring the gap, deleting products, or abandoning conversion tracking would harm optimization.

Question 24Shopping ads

What role do negative keywords play in a standard Shopping campaign?

  1. They convert Shopping ads into video ads
  2. They raise the maximum cost-per-click automatically
  3. They prevent ads from serving on specified irrelevant queries Correct answer.
  4. They increase the number of products in the feed

Explanation

Negative keywords exclude queries the advertiser does not want to match, helping control wasted spend and improving relevance. They do not alter feed size, change bids automatically, or change ad format.

Question 25Shopping ads

Which combination best reflects a sound optimization workflow for an AI-Powered Shopping campaign over time?

  1. Disable conversion tracking to avoid bias
  2. Change the feed daily without reviewing results
  3. Feed accurate product data, monitor segment performance, and refine bids and structure Correct answer.
  4. Set bids once at launch and never review performance data

Explanation

Sustainable optimization starts with accurate feed data, then uses segment-level performance to refine bids, budgets, and structure iteratively. One-time setup, random daily changes, and disabling tracking all undermine improvement.

Question 26Shopping ads

In an AI-Powered Shopping campaign, which asset combination is used to build the ad creative that appears on Search?

  1. Only the product title taken verbatim from the Merchant Center feed
  2. Only the advertiser's manually written responsive search ad headlines
  3. A static display banner uploaded at the campaign level
  4. The product feed data combined with advertiser-supplied headlines, descriptions, and images Correct answer.

Explanation

AI-Powered Shopping ads blend structured product feed attributes with advertiser-provided creative assets such as headlines, descriptions, and lifestyle images, and the system assembles the combination most likely to perform for each query. Manual assets alone are insufficient because the feed supplies the product-specific data.

Question 27Shopping ads

A retailer wants AI-Powered Shopping ads to serve on YouTube and Discover in addition to Google Search. Which campaign configuration enables this?

  1. Adding a Display campaign that shares the same Merchant Center feed
  2. Enabling the 'Search Partners' network checkbox only
  3. Raising the target ROAS above 500 percent
  4. Selecting the Performance Max-style channel controls that include YouTube and Discover placements Correct answer.

Explanation

AI-Powered Shopping campaigns can extend beyond the Search network when the appropriate channel or placement controls are enabled, letting the system serve product ads on YouTube, Discover, and other surfaces. Search Partners alone does not reach those properties, and ROAS targets affect bidding rather than channel eligibility.

Question 28Shopping ads

Which Merchant Center attribute most directly supplies the promotional price that AI-Powered Shopping ads can highlight to shoppers?

  1. The shipping_weight attribute
  2. The multipack attribute
  3. The sale_price attribute paired with the effective date range Correct answer.
  4. The product_type attribute

Explanation

The sale_price attribute, together with its effective date range, tells Google the temporarily reduced price so ads can show the promotion while it is valid. The other attributes describe categorization, logistics, or packaging and carry no pricing information.

Question 29Shopping ads

A merchant's product images in the feed show the item on a cluttered background with overlaid text. What is the most likely effect on AI-Powered Shopping ad performance?

  1. The product will automatically be moved to a different target country
  2. The feed will be rejected entirely and all products disapproved
  3. The system may have weaker creative options, reducing ad quality and clickthrough Correct answer.
  4. Bidding will switch from target ROAS to manual CPC

Explanation

Clean, high-quality images without overlaid text or clutter give the system stronger creative to work with, and poor images tend to depress engagement. Image quality does not cause blanket feed rejection, change targeting geography, or alter the bidding strategy.

Question 30Shopping ads

What does the Merchant Center 'availability' attribute communicate to AI-Powered Shopping ads?

  1. The maximum price the advertiser will bid
  2. Whether the product is in stock, out of stock, or on preorder Correct answer.
  3. The geographic region where the product may be sold
  4. The category taxonomy assigned to the product

Explanation

The availability attribute tells Google the stock status of the item, which influences whether and how the product can be shown. Geography, bidding, and taxonomy are governed by separate settings and attributes.

Question 31Shopping ads

Which Google Ads report is most useful for seeing how individual products performed within an AI-Powered Shopping campaign?

  1. The search terms report filtered to negative keywords
  2. The landing page report
  3. The ad schedule report
  4. The product-level performance report segmented by item ID Correct answer.

Explanation

Product-level reporting segmented by item ID shows impressions, clicks, and conversions for each product, which is essential for feed and bidding decisions. The other reports describe query, page, or time dimensions rather than per-product outcomes.

Question 32Shopping ads

An advertiser wants AI-Powered Shopping ads to prioritize a specific set of high-margin products. Which lever most directly shifts spend toward those items?

  1. Setting a higher product-group bid or ROAS target for the high-margin subset Correct answer.
  2. Lowering the campaign-level budget
  3. Removing the products from the Merchant Center feed
  4. Adding those products to a negative keyword list

Explanation

Product groups let advertisers apply different bids or targets to subsets of inventory, so a higher bid or more aggressive ROAS target on high-margin items directs more spend toward them. Negative keywords, budget cuts, and feed removal do not selectively favor those products.

Question 33Shopping ads

What is the primary role of the Merchant Center product feed in AI-Powered Shopping ads?

  1. It supplies the structured product data used to match ads to shopper queries Correct answer.
  2. It hosts the advertiser's landing page content
  3. It stores the advertiser's billing and payment methods
  4. It defines the campaign's daily budget and bid strategy

Explanation

The feed is the source of product attributes such as title, description, price, and image, which the system uses to decide which products are relevant to a query. Billing, budgeting, and landing page hosting are handled elsewhere in Google Ads or on the advertiser's site.

Question 34Shopping ads

An advertiser's AI-Powered Shopping campaign has a target ROAS of 400 percent, but actual ROAS is 250 percent over the last month. Which action best aligns with the system's design?

  1. Review feed quality and product-level ROAS, then adjust the target to a realistic level while fixing weak items Correct answer.
  2. Immediately double the target ROAS to force efficiency
  3. Remove audience signals so the system has fewer constraints
  4. Pause all products and restart the campaign from scratch

Explanation

When actual ROAS falls short of target, the productive response is to diagnose whether feed quality, product mix, or an unrealistic target is responsible, then correct the inputs and set a target the system can achieve. Raising the target or wiping campaign history does not address the underlying cause.

Question 35Shopping ads

A merchant sells products in multiple countries and wants separate AI-Powered Shopping campaigns per market. Which feed setup supports this most cleanly?

  1. One feed with prices converted at runtime by Google Ads
  2. One feed with all products assigned to a single target country
  3. A single feed with no target country set
  4. Separate feeds or country-specific data sources with the correct target country for each market Correct answer.

Explanation

Each market needs products whose target country matches the market so eligibility, currency, and language are correct, which is best achieved with country-specific feeds or data sources. A single target country or a missing target country prevents proper multi-market eligibility.

Question 36Shopping ads

An advertiser wants to give the AI-Powered Shopping campaign a hint about which audiences are likely to convert. Which input serves that purpose?

  1. Merchant Center shipping settings
  2. Product group subdivisions
  3. Negative keyword lists
  4. Audience signals built from first-party customer lists and site visitors Correct answer.

Explanation

Audience signals pass first-party and site-based audience data to the system as a hint for who is likely to convert, which the AI uses alongside query and product context. Negative keywords, product groups, and shipping settings affect eligibility and bidding structure, not audience hints.

Question 37Shopping ads

A product in the feed has a title that omits the brand and key attributes like size and color. What is the most likely consequence for AI-Powered Shopping ads?

  1. The product will be automatically disapproved for policy violation
  2. The campaign will switch to manual bidding
  3. The system has weaker relevance signals, so the product may match fewer relevant queries Correct answer.
  4. The product's target country will be reset

Explanation

Titles and descriptions are core relevance signals, so missing brand and attributes reduce the system's ability to match the item to shopper queries and can lower impressions and clicks. Poor titles are a quality issue, not a policy violation, and they do not affect bidding or geography.

Question 38Shopping ads

Which situation best explains why a product with a valid feed entry might still not appear in AI-Powered Shopping ads?

  1. The product's image is a JPEG rather than a PNG
  2. The product title exceeds 70 characters
  3. The product has a sale_price attribute
  4. The product is out of stock or its bid or budget is too low to win any auction Correct answer.

Explanation

Even a valid product can fail to serve if it is unavailable or if bids and budget are insufficient to compete in auctions. Image format, title length within limits, and the presence of a sale price do not by themselves block serving.

Question 39Shopping ads

An advertiser wants to exclude branded queries from an AI-Powered Shopping campaign so brand traffic is handled by a separate Search campaign. Which control accomplishes this?

  1. Setting the campaign to a limited budget
  2. Removing brand terms from product titles
  3. Lowering the target ROAS for the campaign
  4. Adding the brand terms as negative keywords at the appropriate level Correct answer.

Explanation

Negative keywords prevent the Shopping campaign from serving on specified terms, so adding brand terms as negatives routes that traffic to the dedicated Search campaign. ROAS targets, title edits, and budget limits do not reliably exclude specific queries.

Question 40Shopping ads

A merchant wants to highlight that certain products are refurbished. Which feed attribute conveys this to AI-Powered Shopping ads?

  1. The age_group attribute
  2. The condition attribute set to refurbished Correct answer.
  3. The availability attribute set to preorder
  4. The google_product_category attribute

Explanation

The condition attribute tells Google whether an item is new, refurbished, or used, which affects how the product is presented. Availability, age group, and category describe stock, demographic, and taxonomy respectively, not item condition.

Question 41Shopping ads

An advertiser notices that a high-performing product has a low impression share due to budget. Which action best addresses this within an AI-Powered Shopping campaign?

  1. Increase the campaign budget or shift budget toward the campaign limited by budget Correct answer.
  2. Reduce the number of images in the feed
  3. Lower the product-group bid for that item
  4. Add the product to a negative keyword list

Explanation

When budget caps impression share, adding budget or reallocating it to the constrained campaign lets the system compete in more auctions. Negatives, fewer images, or lower bids would reduce rather than expand delivery.

Question 42Shopping ads

Which pairing correctly matches an AI-Powered Shopping campaign setting with the outcome it influences?

  1. Product group influences the Merchant Center feed approval status
  2. Audience signal influences the product's shipping cost
  3. Target country influences the campaign's daily budget
  4. Target ROAS influences how aggressively the system bids to meet a return goal Correct answer.

Explanation

Target ROAS is a bidding setting that guides the system's bid adjustments toward a return goal. Target country, product groups, and audience signals affect eligibility, bidding structure, and audience hints respectively, not budgets, feed approval, or shipping cost.

Question 43Shopping ads

An advertiser wants to test whether adding lifestyle images improves AI-Powered Shopping ad performance. Which approach yields the most interpretable result?

  1. Change images, bids, and budget simultaneously on the same campaign
  2. Add images only to the lowest-performing products
  3. Pause the campaign for a week and then resume it with new images
  4. Run a controlled test comparing campaigns or ad groups with and without the added images over a comparable period Correct answer.

Explanation

A controlled comparison isolates the effect of the images by holding other variables stable across comparable groups and periods. Changing multiple variables at once, pausing, or applying images only to weak products confounds the result.

Question 44Shopping ads

A merchant's feed contains duplicate item IDs for the same product with different prices. What is the most likely consequence?

  1. The system may not know which price is correct, causing processing errors or inconsistent serving Correct answer.
  2. The campaign will switch to manual CPC bidding
  3. The product will be assigned to a new target country
  4. The product will automatically be approved with the lower price

Explanation

Duplicate item IDs create conflicting data, and the system cannot reliably determine which record is authoritative, which can cause processing errors or inconsistent ad presentation. Duplicates do not trigger automatic price selection, change bidding, or alter geography.

Question 45Shopping ads

Which signal does the AI in AI-Powered Shopping ads primarily use to decide which product from a large feed to show for a given query?

  1. The alphabetical order of product titles
  2. The order products were uploaded to Merchant Center
  3. The product's shipping weight
  4. The relevance of product attributes to the query combined with predicted performance Correct answer.

Explanation

The system evaluates how well each product's attributes match the query and combines that with predicted performance to select the product to show. Alphabetical order, upload order, and shipping weight are not selection signals.

Question 46Shopping ads

An advertiser wants to understand why ROAS differs sharply between two product categories in the same AI-Powered Shopping campaign. Which analysis is most direct?

  1. Examine the account's billing history
  2. Check the Merchant Center shipping settings only
  3. Review the campaign's ad schedule report only
  4. Compare product-level ROAS grouped by category and review feed and pricing differences between them Correct answer.

Explanation

Grouping product-level ROAS by category and comparing feed quality, pricing, and competitiveness reveals why one category converts better than another. Ad schedule, shipping, and billing data do not explain category-level return differences.

Question 47Shopping ads

An advertiser's AI-Powered Shopping campaign shows strong ROAS but declining impression volume over several weeks. Which explanation is most consistent with the system's behavior?

  1. The campaign has too many negative keywords
  2. The feed has too many images per product
  3. The product titles are too descriptive
  4. The target ROAS is restrictive, so the system bids conservatively and wins fewer auctions Correct answer.

Explanation

A restrictive target ROAS causes the system to bid more conservatively, which can improve efficiency while reducing the number of auctions won and thus impressions. Image count, negatives, and descriptive titles do not produce this efficiency-versus-volume tradeoff in the same way.

Question 48Shopping ads

A merchant wants AI-Powered Shopping ads to reflect a temporary clearance event across many products for one weekend. Which approach is most appropriate?

  1. Remove the affected products and re-upload them after the weekend
  2. Update sale_price and its effective dates in the feed so the promotion is reflected during the event window Correct answer.
  3. Create a new Merchant Center account for the event
  4. Permanently lower the price attribute for all products

Explanation

Using sale_price with a defined effective date range lets the promotion appear only during the event while the regular price remains intact afterward. Permanently lowering price, creating a new account, or removing products creates lasting or disruptive side effects.

Question 49Shopping ads

An advertiser observes that a newly launched AI-Powered Shopping campaign has unstable performance in its first two weeks. Which interpretation is most sound?

  1. The campaign is broken and should be deleted immediately
  2. The system is still learning, so conclusions should wait until enough conversion data accumulates Correct answer.
  3. The target ROAS should be raised sharply each day
  4. The feed must be disapproved entirely

Explanation

AI-driven campaigns need a learning period to gather conversion data before performance stabilizes, so early volatility is expected and premature conclusions are unreliable. Deleting the campaign, assuming feed disapproval, or频繁 raising targets undermines learning.

Question 50Shopping ads

A merchant sells products whose prices change frequently. Which feed practice best supports accurate AI-Powered Shopping ads?

  1. Use scheduled or automated feed updates so price and availability stay current Correct answer.
  2. Upload the feed once per quarter
  3. Rely on Google Ads to infer prices from the landing page
  4. Remove price from the feed to avoid mismatches

Explanation

Frequent price and availability changes require scheduled or automated updates so the feed matches the landing page and ads show correct information. Infrequent uploads, inference, or omitting price lead to mismatches and poor user experience.