{"id":22831,"date":"2026-09-26T08:04:55","date_gmt":"2026-09-26T08:04:55","guid":{"rendered":"https:\/\/www.examlabs.com\/certification\/?p=22831"},"modified":"2026-09-26T08:04:55","modified_gmt":"2026-09-26T08:04:55","slug":"microsoft-ai-200-practice-test-questions-and-exam-dumps-part18-q341-360","status":"publish","type":"post","link":"https:\/\/www.examlabs.com\/certification\/microsoft-ai-200-practice-test-questions-and-exam-dumps-part18-q341-360\/","title":{"rendered":"Microsoft AI-200 Practice Test Questions and Exam Dumps Part18 Q341-360"},"content":{"rendered":"

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

 <\/p>\n

Question 341<\/b><\/h3>\n

Which Azure AI Search function simplifies filtering against multiple values?<\/b><\/p>\n

    \n
  1. search.ismatch<\/span><\/li>\n
  2. search.in<\/span><\/li>\n
  3. geo.distance<\/span><\/li>\n
  4. any<\/span><\/li>\n<\/ol>\n

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

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

    The search.in function in Azure AI Search simplifies filtering when a field should match one value from a supplied list. Instead of writing multiple equality comparisons joined with logical operators, an application can provide a collection of acceptable values to the function. search.ismatch evaluates full-text search expressions, geo.distance calculates geographic distance, and any is used with supported collection expressions. search.in can make dynamically generated filters more concise and easier to manage in applications that retrieve records according to multiple categories or identifiers.<\/span><\/p>\n

    Question 342<\/b><\/h3>\n

    Which Cosmos DB capability reduces repeated read latency for cached queries?<\/b><\/p>\n

      \n
    1. Change feed<\/span><\/li>\n
    2. Integrated cache<\/span><\/li>\n
    3. Transactional batch<\/span><\/li>\n
    4. Partition splitting<\/span><\/li>\n<\/ol>\n

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

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

      The Azure Cosmos DB integrated cache can reduce latency and request-unit consumption for repeated read operations by serving eligible requests from cache rather than repeatedly querying the transactional store. It is particularly useful for workloads where the same data is requested frequently. Change feed exposes modifications, transactional batch provides atomic operations within a logical partition, and partition splitting concerns data distribution rather than caching. An integrated cache can benefit AI applications that repeatedly retrieve relatively stable reference data, configuration information, or frequently accessed application content.<\/span><\/p>\n

      Question 343<\/b><\/h3>\n

      Which Cosmos DB design supports multiple partition-key levels?<\/b><\/p>\n

        \n
      1. Hierarchical partition key<\/span><\/li>\n
      2. Composite index<\/span><\/li>\n
      3. Analytical container<\/span><\/li>\n
      4. Conflict resolver<\/span><\/li>\n<\/ol>\n

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

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

        A hierarchical partition key allows Cosmos DB applications to define multiple levels within a partition-key structure. This can improve data distribution for workloads where a single partition-key value may create hotspots but related values still need logical grouping. Composite indexes support multi-property query indexing, analytical containers support analytical workloads, and conflict resolvers address supported multi-region write conflicts. Hierarchical partition keys can be useful for multi-tenant AI applications where data may naturally be organized by several levels, such as organization, project, and workload.<\/span><\/p>\n

        Question 344<\/b><\/h3>\n

        Which Blob Storage feature generates scheduled inventory reports?<\/b><\/p>\n

          \n
        1. Blob snapshots<\/span><\/li>\n
        2. Lifecycle management<\/span><\/li>\n
        3. Storage inventory<\/span><\/li>\n
        4. Soft delete<\/span><\/li>\n<\/ol>\n

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

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

          Azure Blob Storage inventory can generate reports containing information about objects in a storage account according to configured inventory rules. These reports can help organizations audit stored data, analyze object properties, and support governance activities without manually enumerating every object. Snapshots preserve previous blob states, lifecycle management automates supported data transitions or deletion, and soft delete helps recover deleted objects. Storage inventory can be useful in AI environments containing large datasets where administrators need periodic visibility into stored objects and their characteristics.<\/span><\/p>\n

          Question 345<\/b><\/h3>\n

          Which ADLS Gen2 feature preserves directory hierarchy for data organization?<\/b><\/p>\n

            \n
          1. Access tiering<\/span><\/li>\n
          2. Object replication<\/span><\/li>\n
          3. Hierarchical namespace<\/span><\/li>\n
          4. Blob version history<\/span><\/li>\n<\/ol>\n

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

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

            Azure Data Lake Storage Gen2 hierarchical namespace provides directory and file-system-like organization for data stored in the storage account. It enables workloads to work with directories and files more naturally and supports features such as fine-grained ACLs. Access tiering controls storage-access economics, object replication copies supported objects, and version history preserves previous blob versions. Hierarchical namespace is especially valuable for analytics and AI data platforms because large datasets can be organized into logical directories that reflect processing stages, teams, projects, or other data domains.<\/span><\/p>\n

            Question 346<\/b><\/h3>\n

            Which Service Bus capability preserves ordered processing within a message group?<\/b><\/p>\n

              \n
            1. Duplicate detection<\/span><\/li>\n
            2. Message sessions<\/span><\/li>\n
            3. Scheduled delivery<\/span><\/li>\n
            4. Dead-letter queue<\/span><\/li>\n<\/ol>\n

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

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

              Azure Service Bus message sessions provide a mechanism for grouping related messages and supporting ordered processing within a session. A receiver can accept a session and process its messages as a related sequence. Duplicate detection addresses repeated messages, scheduled delivery controls future availability, and the dead-letter queue isolates messages that require separate handling. Sessions are useful for AI workflows where events associated with the same customer, job, conversation, or processing sequence need to be handled in order while other independent groups can be processed separately.<\/span><\/p>\n

              Question 347<\/b><\/h3>\n

              Which Event Hubs capability automatically increases throughput capacity when needed?<\/b><\/p>\n

                \n
              1. Auto-inflate<\/span><\/li>\n
              2. Event Capture<\/span><\/li>\n
              3. Consumer checkpointing<\/span><\/li>\n
              4. Partition affinity<\/span><\/li>\n<\/ol>\n

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

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

                Event Hubs auto-inflate can automatically increase throughput units when incoming traffic exceeds the configured capacity threshold, up to the specified maximum. This helps accommodate temporary increases in event volume without requiring manual capacity adjustments each time demand changes. Event Capture persists event data to storage, consumer checkpointing records processing progress, and partition affinity concerns how events are associated with partitions. Auto-inflate can be useful for AI telemetry pipelines where ingestion volume varies significantly during peak processing periods.<\/span><\/p>\n

                Question 348<\/b><\/h3>\n

                Which Event Grid setting controls the maximum delivery attempts?<\/b><\/p>\n

                  \n
                1. Subject prefix<\/span><\/li>\n
                2. Event schema<\/span><\/li>\n
                3. Retry policy<\/span><\/li>\n
                4. Topic region<\/span><\/li>\n<\/ol>\n

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

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

                  An Event Grid retry policy controls supported retry behavior when event delivery does not succeed. Configuration can include delivery-related limits such as the maximum number of delivery attempts and the time-to-live for an event, depending on the supported event subscription configuration. Subject filtering selects matching events, event schema determines event structure, and topic region identifies the resource’s location. Retry configuration is important for resilient AI event-processing systems because temporary endpoint failures should be handled without requiring custom retry logic for every publisher.<\/span><\/p>\n

                  Question 349<\/b><\/h3>\n

                  Which Durable Functions capability exposes orchestration status through HTTP?<\/b><\/p>\n

                    \n
                  1. Durable HTTP APIs<\/span><\/li>\n
                  2. Durable entities<\/span><\/li>\n
                  3. Activity functions<\/span><\/li>\n
                  4. Orchestration history<\/span><\/li>\n<\/ol>\n

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

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

                    Durable Functions provides HTTP-based management and interaction patterns that allow applications to start orchestrations and inspect their status through HTTP APIs. This is useful when external clients need to initiate long-running workflows or monitor their progress without directly accessing the orchestration runtime. Durable entities maintain stateful objects, activity functions perform individual units of work, and orchestration history records workflow execution information. HTTP interaction patterns are useful for AI applications where a client submits a long-running processing request and later checks its execution state.<\/span><\/p>\n

                    Question 350<\/b><\/h3>\n

                    Which Azure Container Apps option controls CPU and memory allocation for workloads?<\/b><\/p>\n

                      \n
                    1. Environment secrets<\/span><\/li>\n
                    2. Workload profile<\/span><\/li>\n
                    3. Revision label<\/span><\/li>\n
                    4. Ingress rule<\/span><\/li>\n<\/ol>\n

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

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

                      Azure Container Apps workload profiles define supported compute characteristics for workloads running within a Container Apps environment. They allow applications to use appropriate compute resources according to workload requirements and supported environment configurations. Environment secrets store sensitive values, revision labels identify application revisions, and ingress rules control network access. Workload profiles can be useful for AI services because inference, batch processing, and background workloads may have substantially different compute requirements and may benefit from appropriate resource configurations.<\/span><\/p>\n

                      Question 351<\/b><\/h3>\n

                      Which ACR mechanism can trigger a build from a source-code update?<\/b><\/p>\n

                        \n
                      1. Registry webhook<\/span><\/li>\n
                      2. Source-triggered task<\/span><\/li>\n
                      3. Repository credential<\/span><\/li>\n
                      4. Manifest reference<\/span><\/li>\n<\/ol>\n

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

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

                        Azure Container Registry Tasks can be configured with source-control triggers so that changes to supported source repositories initiate automated container builds. This enables container images to be rebuilt when application source changes without requiring developers to manually start every build. Registry webhooks notify external systems about registry events, repository credentials support authentication, and manifest references identify image metadata. Source-triggered builds are useful in AI delivery pipelines where application code or model-serving components need to be packaged automatically after source changes.<\/span><\/p>\n

                        Question 352<\/b><\/h3>\n

                        Which Azure Monitor feature tests an application endpoint from multiple locations?<\/b><\/p>\n

                          \n
                        1. Log Analytics<\/span><\/li>\n
                        2. Availability test<\/span><\/li>\n
                        3. Custom metric<\/span><\/li>\n
                        4. Diagnostic setting<\/span><\/li>\n<\/ol>\n

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

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

                          Azure Monitor availability tests can evaluate whether an application endpoint is reachable and responding as expected from supported test locations. These tests help identify availability problems and can provide visibility into endpoint behavior from different geographic perspectives. Log Analytics provides a workspace for querying telemetry, custom metrics represent application-defined numerical measurements, and diagnostic settings route supported resource logs and metrics. Availability monitoring can be especially useful for AI APIs where an application may appear healthy internally but still experience accessibility problems from external locations.<\/span><\/p>\n

                          Question 353<\/b><\/h3>\n

                          Which API Management credential identifies a subscribed API consumer?<\/b><\/p>\n

                            \n
                          1. Subscription key<\/span><\/li>\n
                          2. Backend certificate<\/span><\/li>\n
                          3. Route parameter<\/span><\/li>\n
                          4. Policy fragment<\/span><\/li>\n<\/ol>\n

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

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

                            An Azure API Management subscription key can identify and authorize a consumer associated with an API Management subscription, depending on the configured API and product requirements. It provides a straightforward mechanism for controlling API access and tracking usage. Backend certificates support secure backend communication scenarios, route parameters carry values in API paths, and policy fragments provide reusable policy logic. Subscription keys are commonly used when exposing APIs to application developers who need a manageable credential for accessing protected API products.<\/span><\/p>\n

                            Question 354<\/b><\/h3>\n

                            Which Azure SQL capability recommends or applies supported performance optimizations automatically?<\/b><\/p>\n

                              \n
                            1. Query Store<\/span><\/li>\n
                            2. Automatic tuning<\/span><\/li>\n
                            3. Elastic database pool<\/span><\/li>\n
                            4. Database copy<\/span><\/li>\n<\/ol>\n

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

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

                              Azure SQL automatic tuning provides supported recommendations and automated optimization capabilities for database performance. Depending on the configuration and supported feature, it can identify opportunities such as plan-related performance improvements and apply selected tuning actions automatically. Query Store records query performance information, elastic pools provide shared resources across databases, and database copy creates another database instance. Automatic tuning can help reduce the amount of manual performance management required for AI applications whose database workload changes as application traffic and processing patterns evolve.<\/span><\/p>\n

                              Question 355<\/b><\/h3>\n

                              Which PostgreSQL option stores backups in a paired Azure region?<\/b><\/p>\n

                                \n
                              1. Local backup cache<\/span><\/li>\n
                              2. Geo-redundant backup<\/span><\/li>\n
                              3. Connection pool<\/span><\/li>\n
                              4. Read replica<\/span><\/li>\n<\/ol>\n

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

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

                                Azure Database for PostgreSQL Flexible Server can support geo-redundant backup configurations that maintain backup data in a paired Azure region. This provides an additional recovery option when a regional disaster affects the primary environment. A connection pool manages database connections, a read replica supports read scaling, and a local backup cache is not the relevant geographic backup mechanism. Geo-redundant backups can be important for AI applications where PostgreSQL contains operational metadata, application state, or other information that must remain recoverable after a regional failure.<\/span><\/p>\n

                                Question 356<\/b><\/h3>\n

                                Which Microsoft Entra capability assigns application-specific permissions to users or groups?<\/b><\/p>\n

                                  \n
                                1. Application roles<\/span><\/li>\n
                                2. Conditional Access<\/span><\/li>\n
                                3. Security defaults<\/span><\/li>\n
                                4. Authentication methods<\/span><\/li>\n<\/ol>\n

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

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

                                  Microsoft Entra application roles define application-specific permissions that can be assigned to users or groups and then represented in authentication tokens for supported application scenarios. Conditional Access evaluates contextual access conditions, security defaults provide baseline identity protections, and authentication methods determine how users authenticate. Application roles are useful for AI applications with multiple permission levels, such as administrators, analysts, operators, or standard users, because backend services can use role information to determine which operations an authenticated identity is allowed to perform.<\/span><\/p>\n

                                  Question 357<\/b><\/h3>\n

                                  Which Azure networking feature records virtual network traffic-flow information?<\/b><\/p>\n

                                    \n
                                  1. Private endpoint<\/span><\/li>\n
                                  2. Network Watcher flow logs<\/span><\/li>\n
                                  3. Application Gateway<\/span><\/li>\n
                                  4. Traffic Manager<\/span><\/li>\n<\/ol>\n

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

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

                                    Network Watcher flow logs provide information about network traffic flows associated with supported network security group scenarios. They can help administrators analyze permitted and denied traffic and investigate connectivity or security behavior. Private endpoints provide private connectivity to supported services, Application Gateway handles application-layer traffic distribution, and Traffic Manager provides DNS-based routing. Flow logging can be valuable when troubleshooting AI applications distributed across multiple virtual networks because it provides additional evidence about how network traffic is being handled.<\/span><\/p>\n

                                    Question 358<\/b><\/h3>\n

                                    Which Azure Firewall capability controls outbound application traffic by domain?<\/b><\/p>\n

                                      \n
                                    1. Network security group<\/span><\/li>\n
                                    2. Application rule<\/span><\/li>\n
                                    3. Route table<\/span><\/li>\n
                                    4. Service endpoint<\/span><\/li>\n<\/ol>\n

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

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

                                      Azure Firewall application rules can control supported outbound web traffic based on application-level characteristics such as fully qualified domain names. This enables organizations to restrict which external destinations workloads can access. Network security groups provide network-level traffic filtering, route tables determine routing behavior, and service endpoints provide optimized private connectivity to supported Azure services. Application rules can be useful for AI workloads that need controlled access to external APIs, package repositories, model resources, or other internet destinations.<\/span><\/p>\n

                                      Question 359<\/b><\/h3>\n

                                      Which Azure Storage feature protects deleted containers from immediate permanent loss?<\/b><\/p>\n

                                        \n
                                      1. Blob versioning<\/span><\/li>\n
                                      2. Container soft delete<\/span><\/li>\n
                                      3. Object replication<\/span><\/li>\n
                                      4. Static hosting<\/span><\/li>\n<\/ol>\n

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

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

                                        Azure Storage container soft delete helps protect containers and their contents from accidental deletion by retaining deleted containers for a configured retention period. This provides an opportunity to recover data after an unintended deletion. Blob versioning maintains previous blob versions, object replication copies supported objects between storage accounts, and static hosting serves static website content. Container protection is particularly useful for AI data platforms because accidentally deleting a dataset container could affect ingestion, training, evaluation, or application workflows.<\/span><\/p>\n

                                        Question 360<\/b><\/h3>\n

                                        Which Azure resource-management capability queries resources using KQL?<\/b><\/p>\n

                                          \n
                                        1. Azure Resource Graph<\/span><\/li>\n
                                        2. Activity Log<\/span><\/li>\n
                                        3. Azure Advisor<\/span><\/li>\n
                                        4. Deployment history<\/span><\/li>\n<\/ol>\n

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

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

                                          Azure Resource Graph uses Kusto Query Language, or KQL, to query resource metadata across Azure environments at scale. It allows administrators to discover resources, inspect properties, identify configurations, and build inventory-oriented queries across supported subscriptions. Activity Log records management operations, Azure Advisor provides recommendations, and deployment history records deployment activity. Resource Graph is valuable for AI infrastructure because organizations often operate many interconnected services and need efficient ways to identify resources, configurations, and governance characteristics across large Azure environments.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

                                          View Full Microsoft AI-200 Exam Dumps and Practice Test Dumps   Question 341 Which Azure AI Search function simplifies filtering against multiple values? search.ismatch search.in geo.distance any Correct Answer: 2 Explanation: The search.in function in Azure AI Search simplifies filtering when a field should match one value from a supplied list. Instead of writing multiple […]<\/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\/22831"}],"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=22831"}],"version-history":[{"count":1,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/22831\/revisions"}],"predecessor-version":[{"id":22832,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/22831\/revisions\/22832"}],"wp:attachment":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/media?parent=22831"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/categories?post=22831"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/tags?post=22831"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}