{"id":22835,"date":"2026-09-26T08:05:31","date_gmt":"2026-09-26T08:05:31","guid":{"rendered":"https:\/\/www.examlabs.com\/certification\/?p=22835"},"modified":"2026-09-26T08:05:31","modified_gmt":"2026-09-26T08:05:31","slug":"microsoft-ai-200-practice-test-questions-and-exam-dumps-part20-q381-400","status":"publish","type":"post","link":"https:\/\/www.examlabs.com\/certification\/microsoft-ai-200-practice-test-questions-and-exam-dumps-part20-q381-400\/","title":{"rendered":"Microsoft AI-200 Practice Test Questions and Exam Dumps Part20 Q381-400"},"content":{"rendered":"

View Full <\/b>Microsoft AI-200 Exam Dumps<\/b><\/a> and Practice Test Dumps<\/b><\/h2>\n

 <\/p>\n

Question 381<\/b><\/h3>\n

Which Azure AI Search feature maps equivalent terms to one another?<\/b><\/p>\n

    \n
  1. Analyzer profile<\/span><\/li>\n
  2. Search alias<\/span><\/li>\n
  3. Synonym map<\/span><\/li>\n
  4. Ranking profile<\/span><\/li>\n<\/ol>\n

    Correct Answer: 3<\/b><\/p>\n

    Explanation:<\/b><\/p>\n

    A synonym map in Azure AI Search defines equivalent terms that should be treated as related during search operations. This can improve recall when users search with alternative terminology, abbreviations, or domain-specific vocabulary. An analyzer controls how text is tokenized and processed, an index alias provides an alternate name for an index, and a ranking profile influences scoring. Synonym maps are especially useful in AI applications where users may express the same concept using different words and the search experience should recognize those relationships.<\/span><\/p>\n

    Question 382<\/b><\/h3>\n

    Which Cosmos DB operation retrieves one item using its identifier and partition key?<\/b><\/p>\n

      \n
    1. Point read<\/span><\/li>\n
    2. Cross-partition query<\/span><\/li>\n
    3. Change feed scan<\/span><\/li>\n
    4. Bulk query<\/span><\/li>\n<\/ol>\n

      Correct Answer: 1<\/b><\/p>\n

      Explanation:<\/b><\/p>\n

      A Cosmos DB point read retrieves a single item when the application knows both the item’s identifier and its partition key. This operation is highly efficient because Cosmos DB can directly locate the target item without evaluating a broader query across documents. A cross-partition query examines data across multiple logical partitions, while change feed operations focus on item modifications and bulk operations are designed for processing multiple items. AI applications frequently use point reads when retrieving individual configuration records, user profiles, job states, or previously stored inference results.<\/span><\/p>\n

      Question 383<\/b><\/h3>\n

      Which Blob Storage feature identifies objects using searchable key-value metadata?<\/b><\/p>\n

        \n
      1. Blob metadata<\/span><\/li>\n
      2. Access tier<\/span><\/li>\n
      3. Blob lease<\/span><\/li>\n
      4. Object replication<\/span><\/li>\n<\/ol>\n

        Correct Answer: 1<\/b><\/p>\n

        Explanation:<\/b><\/p>\n

        Blob metadata consists of user-defined key-value pairs associated with a blob. Applications can use metadata to store descriptive information about an object, although metadata itself is not the same as Blob Index Tags, which are designed for searchable indexing scenarios. Access tiers determine storage access characteristics, leases provide controlled write access, and object replication copies supported blob data between accounts. Metadata can help AI data pipelines retain descriptive attributes such as processing state, source information, or dataset version details alongside stored objects.<\/span><\/p>\n

        Question 384<\/b><\/h3>\n

        Which Service Bus feature schedules a message for future availability?<\/b><\/p>\n

          \n
        1. Message deferral<\/span><\/li>\n
        2. Scheduled delivery<\/span><\/li>\n
        3. Queue transfer<\/span><\/li>\n
        4. Session locking<\/span><\/li>\n<\/ol>\n

          Correct Answer: 2<\/b><\/p>\n

          Explanation:<\/b><\/p>\n

          Azure Service Bus scheduled delivery allows an application to specify a future time when a message should become available for normal processing. This is useful for delayed workflows, reminders, deferred jobs, and time-based orchestration. Message deferral is different because it temporarily sets aside a received message for later retrieval by its sequence number. Queue transfer handles supported forwarding scenarios, while session locking concerns session-aware processing. Scheduled delivery can help AI systems initiate tasks at predetermined times without requiring an external timer to publish every message.<\/span><\/p>\n

          Question 385<\/b><\/h3>\n

          Which Event Hubs feature records events directly into Azure Storage?<\/b><\/p>\n

            \n
          1. Event Hubs Capture<\/span><\/li>\n
          2. Consumer checkpoint<\/span><\/li>\n
          3. Partition ownership<\/span><\/li>\n
          4. Throughput unit<\/span><\/li>\n<\/ol>\n

            Correct Answer: 1<\/b><\/p>\n

            Explanation:<\/b><\/p>\n

            Event Hubs Capture automatically writes streaming event data to supported Azure Storage destinations. This provides a convenient way to retain event streams for later analysis, archival, or batch processing without requiring a separate custom consumer application solely for storage. Consumer checkpoints track processing progress, partition ownership coordinates consumers, and throughput units provide capacity. Capture can be useful for AI workloads that continuously ingest telemetry, application activity, or operational events and later use those records for analytics, training-data preparation, or auditing.<\/span><\/p>\n

            Question 386<\/b><\/h3>\n

            Which Event Grid filter targets events based on their subject prefix?<\/b><\/p>\n

              \n
            1. Data filter<\/span><\/li>\n
            2. Advanced filter<\/span><\/li>\n
            3. Subject begins-with filter<\/span><\/li>\n
            4. Event type rule<\/span><\/li>\n<\/ol>\n

              Correct Answer: 3<\/b><\/p>\n

              Explanation:<\/b><\/p>\n

              Event Grid supports subject filtering that can restrict delivery based on the beginning or ending portion of an event subject. A subject begins-with filter is useful when events follow predictable resource or object naming conventions. Data filters inspect event data, advanced filters provide additional comparison capabilities, and event type filtering selects events according to their declared type. Subject-based filtering can reduce unnecessary event processing in AI architectures by delivering only events associated with relevant resources, containers, folders, or application-generated paths.<\/span><\/p>\n

              Question 387<\/b><\/h3>\n

              Which Azure Functions option packages dependencies with a function deployment?<\/b><\/p>\n

                \n
              1. Deployment package<\/span><\/li>\n
              2. Function endpoint<\/span><\/li>\n
              3. Host extension<\/span><\/li>\n
              4. Runtime variable<\/span><\/li>\n<\/ol>\n

                Correct Answer: 1<\/b><\/p>\n

                Explanation:<\/b><\/p>\n

                A deployment package can contain the application files and required dependencies needed by an Azure Function. Packaging the function and its dependencies together supports repeatable deployments and helps ensure that the runtime receives the expected application content. A function endpoint identifies an HTTP-accessible interface, host extensions provide runtime functionality, and runtime variables configure execution behavior. Packaging is particularly useful for AI applications that depend on multiple libraries because deployment automation can consistently deliver the tested application version to the target Function App.<\/span><\/p>\n

                Question 388<\/b><\/h3>\n

                Which Durable Functions feature stores state for individual application entities?<\/b><\/p>\n

                  \n
                1. Durable timer<\/span><\/li>\n
                2. Durable entity<\/span><\/li>\n
                3. Activity trigger<\/span><\/li>\n
                4. HTTP starter<\/span><\/li>\n<\/ol>\n

                  Correct Answer: 2<\/b><\/p>\n

                  Explanation:<\/b><\/p>\n

                  Durable entities provide a programming model for maintaining small pieces of state that can be accessed and updated through operations. They are useful when an application needs durable, addressable state associated with logical entities rather than only following a single orchestration sequence. Durable timers schedule future orchestration actions, activity triggers execute work, and HTTP starters initiate orchestrations through HTTP requests. AI systems can use durable entities for counters, aggregation state, status information, or other application-level state that must survive function executions.<\/span><\/p>\n

                  Question 389<\/b><\/h3>\n

                  Which Container Apps feature sends traffic to different revisions by percentage?<\/b><\/p>\n

                    \n
                  1. Revision labels<\/span><\/li>\n
                  2. Traffic splitting<\/span><\/li>\n
                  3. Replica balancing<\/span><\/li>\n
                  4. Environment routing<\/span><\/li>\n<\/ol>\n

                    Correct Answer: 2<\/b><\/p>\n

                    Explanation:<\/b><\/p>\n

                    Azure Container Apps traffic splitting allows incoming requests to be distributed across application revisions according to configured percentages. This can support controlled rollout strategies where a new revision receives only a portion of production traffic before broader adoption. Revision labels provide identifiable revision endpoints, replica balancing handles application instances, and environment routing is not the specific revision percentage mechanism. Traffic splitting is valuable for AI services because a new model-serving revision can be exposed gradually while the existing version continues handling the remaining requests.<\/span><\/p>\n

                    Question 390<\/b><\/h3>\n

                    Which Azure Container Registry capability builds images automatically from source changes?<\/b><\/p>\n

                      \n
                    1. ACR Tasks<\/span><\/li>\n
                    2. Registry login<\/span><\/li>\n
                    3. Image retention<\/span><\/li>\n
                    4. Repository access<\/span><\/li>\n<\/ol>\n

                      Correct Answer: 1<\/b><\/p>\n

                      Explanation:<\/b><\/p>\n

                      ACR Tasks provides automated container image building and related registry workflows. Tasks can be configured to build images from source changes or other triggers, reducing the need for a separate build environment for supported scenarios. Registry login manages authentication, image retention concerns lifecycle management, and repository access controls permissions. Automated image builds are useful for AI applications because changes to model-serving code or application dependencies can trigger repeatable container builds and help integrate image creation into a broader development and deployment pipeline.<\/span><\/p>\n

                      Question 391<\/b><\/h3>\n

                      Which Azure Monitor capability defines reusable visual reports from query results?<\/b><\/p>\n

                        \n
                      1. Workbooks<\/span><\/li>\n
                      2. Activity records<\/span><\/li>\n
                      3. Resource locks<\/span><\/li>\n
                      4. Diagnostic settings<\/span><\/li>\n<\/ol>\n

                        Correct Answer: 1<\/b><\/p>\n

                        Explanation:<\/b><\/p>\n

                        Azure Monitor Workbooks provide interactive reports that can combine text, queries, metrics, parameters, and visualizations into reusable monitoring experiences. They are useful for creating operational dashboards tailored to specific applications or teams. Activity records document management operations, resource locks protect resources from certain changes, and diagnostic settings configure telemetry routing. For AI platforms, workbooks can consolidate service health, application performance, model-serving telemetry, and infrastructure indicators into a single view for operational investigation.<\/span><\/p>\n

                        Question 392<\/b><\/h3>\n

                        Which API Management feature lets multiple APIs be grouped for subscriber access?<\/b><\/p>\n

                          \n
                        1. Backend pool<\/span><\/li>\n
                        2. Product<\/span><\/li>\n
                        3. Gateway instance<\/span><\/li>\n
                        4. Policy fragment<\/span><\/li>\n<\/ol>\n

                          Correct Answer: 2<\/b><\/p>\n

                          Explanation:<\/b><\/p>\n

                          An API Management product groups one or more APIs together and defines how subscribers can access them. Products can be configured with subscription requirements and publication settings, making them useful for organizing related APIs for consumers. A backend pool represents backend connectivity concepts, gateway instances provide API gateway functionality, and policy fragments contain reusable policy sections. Products are useful when an AI platform exposes several related services and wants to offer them as a coherent API package to approved consumers.<\/span><\/p>\n

                          Question 393<\/b><\/h3>\n

                          Which Azure SQL feature captures historical query execution information?<\/b><\/p>\n

                            \n
                          1. Query Store<\/span><\/li>\n
                          2. Schema compare<\/span><\/li>\n
                          3. Database watcher<\/span><\/li>\n
                          4. Backup catalog<\/span><\/li>\n<\/ol>\n

                            Correct Answer: 1<\/b><\/p>\n

                            Explanation:<\/b><\/p>\n

                            Query Store captures query-related information over time, including execution statistics and query plans, enabling administrators and developers to investigate performance behavior. It can help identify changes in query performance and support troubleshooting of workloads that evolve over time. Schema comparison focuses on structural differences, database monitoring tools provide broader observability, and backup catalogs concern recovery information. Query Store is valuable for AI applications backed by Azure SQL when developers need to identify inefficient queries or investigate performance changes after application updates.<\/span><\/p>\n

                            Question 394<\/b><\/h3>\n

                            Which PostgreSQL capability maintains a secondary readable copy of database data?<\/b><\/p>\n

                              \n
                            1. Connection pooling<\/span><\/li>\n
                            2. Read replica<\/span><\/li>\n
                            3. Maintenance window<\/span><\/li>\n
                            4. Storage autoscaling<\/span><\/li>\n<\/ol>\n

                              Correct Answer: 2<\/b><\/p>\n

                              Explanation:<\/b><\/p>\n

                              A PostgreSQL read replica maintains a secondary copy that can serve supported read workloads. This can help separate read-intensive operations from the primary database and may be useful for applications with substantial query demand. Connection pooling manages database connections, maintenance windows define preferred maintenance periods, and storage autoscaling addresses storage capacity. AI applications may use read replicas for reporting, analytical queries, or read-heavy application components while preserving primary database resources for transactional operations.<\/span><\/p>\n

                              Question 395<\/b><\/h3>\n

                              Which Azure App Configuration feature helps detect when configuration should be refreshed?<\/b><\/p>\n

                                \n
                              1. Sentinel key<\/span><\/li>\n
                              2. Access token<\/span><\/li>\n
                              3. Deployment slot<\/span><\/li>\n
                              4. Service endpoint<\/span><\/li>\n<\/ol>\n

                                Correct Answer: 1<\/b><\/p>\n

                                Explanation:<\/b><\/p>\n

                                A sentinel key in Azure App Configuration can act as a trigger indicating that related configuration values should be refreshed by an application. Instead of checking every individual setting for changes, an application can monitor the sentinel and refresh configuration when its value changes. Access tokens handle authentication, deployment slots separate application versions, and service endpoints provide connectivity. Sentinel-based refresh is useful for AI services where configuration such as feature flags, model endpoints, or runtime behavior may need to change without redeploying the entire application.<\/span><\/p>\n

                                Question 396<\/b><\/h3>\n

                                Which Azure Storage redundancy option maintains copies across availability zones?<\/b><\/p>\n

                                  \n
                                1. Locally redundant storage<\/span><\/li>\n
                                2. Zone-redundant storage<\/span><\/li>\n
                                3. Geo-redundant storage<\/span><\/li>\n
                                4. Read-access geo storage<\/span><\/li>\n<\/ol>\n

                                  Correct Answer: 2<\/b><\/p>\n

                                  Explanation:<\/b><\/p>\n

                                  Zone-redundant storage, or ZRS, synchronously replicates data across availability zones within a supported Azure region. This design helps protect storage data against failures affecting an individual availability zone. Locally redundant storage maintains copies within a single physical location, while geo-redundant options provide replication to another region. Choosing appropriate redundancy is important for AI workloads that store application state, datasets, or generated artifacts and require resilience against infrastructure failures without necessarily requiring cross-region replication.<\/span><\/p>\n

                                  Question 397<\/b><\/h3>\n

                                  Which Microsoft Entra object represents an application identity in a tenant?<\/b><\/p>\n

                                    \n
                                  1. Service principal<\/span><\/li>\n
                                  2. Security group<\/span><\/li>\n
                                  3. Managed domain<\/span><\/li>\n
                                  4. Directory contact<\/span><\/li>\n<\/ol>\n

                                    Correct Answer: 1<\/b><\/p>\n

                                    Explanation:<\/b><\/p>\n

                                    A service principal represents an application’s identity within a Microsoft Entra tenant and can be assigned permissions to access supported resources. Applications commonly use service principals when automated processes need authenticated access without relying on an interactive user account. Security groups organize identities, managed domains describe directory configuration, and directory contacts represent contact objects. Service principals are frequently used in deployment and automation scenarios, including AI infrastructure pipelines that need controlled access to Azure resources.<\/span><\/p>\n

                                    Question 398<\/b><\/h3>\n

                                    Which Azure Policy effect blocks creation of noncompliant resources?<\/b><\/p>\n

                                      \n
                                    1. Audit<\/span><\/li>\n
                                    2. Modify<\/span><\/li>\n
                                    3. Deny<\/span><\/li>\n
                                    4. Disabled<\/span><\/li>\n<\/ol>\n

                                      Correct Answer: 3<\/b><\/p>\n

                                      Explanation:<\/b><\/p>\n

                                      The Azure Policy deny effect prevents a resource request from proceeding when the request violates the applicable policy rule. This makes it an enforcement mechanism rather than a reporting-only control. The audit effect records noncompliance without blocking deployment, modify can alter supported resource properties, and disabled prevents the policy rule from being evaluated. Deny policies can help enforce required configurations across AI environments, such as restricting unsupported resource types or requiring particular deployment characteristics.<\/span><\/p>\n

                                      Question 399<\/b><\/h3>\n

                                      Which Azure Resource Graph capability searches resources across subscriptions?<\/b><\/p>\n

                                        \n
                                      1. Cross-resource query<\/span><\/li>\n
                                      2. Local resource scan<\/span><\/li>\n
                                      3. Single-tenant lookup<\/span><\/li>\n
                                      4. Runtime inspection<\/span><\/li>\n<\/ol>\n

                                        Correct Answer: 1<\/b><\/p>\n

                                        Explanation:<\/b><\/p>\n

                                        Azure Resource Graph supports querying Azure resources at scale across subscriptions and other supported management scopes. It is designed for efficient resource inventory, governance, compliance, and operational discovery using a query language based on Kusto Query Language. A local resource scan would be limited in scope, while single-tenant lookup and runtime inspection are not the defining Resource Graph capability. Cross-resource querying can help AI platform teams locate resources, compare configurations, and identify deployment patterns across large Azure environments.<\/span><\/p>\n

                                        Question 400<\/b><\/h3>\n

                                        Which Azure Cost Management feature sets spending thresholds and notifications?<\/b><\/p>\n

                                          \n
                                        1. Cost alert<\/span><\/li>\n
                                        2. Budget<\/span><\/li>\n
                                        3. Usage meter<\/span><\/li>\n
                                        4. Billing scope<\/span><\/li>\n<\/ol>\n

                                          Correct Answer: 2<\/b><\/p>\n

                                          Explanation:<\/b><\/p>\n

                                          Azure Cost Management budgets allow organizations to define spending thresholds and configure notifications when actual or forecasted costs approach or exceed specified amounts. A budget helps teams monitor financial consumption without directly changing resource capacity or stopping workloads by itself. Cost alerts describe notification behavior, usage meters provide consumption measurements, and billing scopes define organizational billing boundaries. Budgets can be useful for AI workloads because compute-intensive inference, data processing, and storage activities can cause consumption to vary significantly as application usage changes.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

                                          View Full Microsoft AI-200 Exam Dumps and Practice Test Dumps   Question 381 Which Azure AI Search feature maps equivalent terms to one another? Analyzer profile Search alias Synonym map Ranking profile Correct Answer: 3 Explanation: A synonym map in Azure AI Search defines equivalent terms that should be treated as related during search operations. […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[1648,1647],"tags":[],"_links":{"self":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/22835"}],"collection":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/comments?post=22835"}],"version-history":[{"count":1,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/22835\/revisions"}],"predecessor-version":[{"id":22836,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/22835\/revisions\/22836"}],"wp:attachment":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/media?parent=22835"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/categories?post=22835"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/tags?post=22835"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}