{"id":17136,"date":"2026-09-21T06:38:47","date_gmt":"2026-09-21T06:38:47","guid":{"rendered":"https:\/\/www.examlabs.com\/certification\/?p=17136"},"modified":"2026-09-21T06:38:47","modified_gmt":"2026-09-21T06:38:47","slug":"microsoft-dp-900-practice-test-questions-and-exam-dumps-part15-q281-300","status":"publish","type":"post","link":"https:\/\/www.examlabs.com\/certification\/microsoft-dp-900-practice-test-questions-and-exam-dumps-part15-q281-300\/","title":{"rendered":"Microsoft DP-900 Practice Test Questions and Exam Dumps Part15 Q281-300"},"content":{"rendered":"

View Full <\/b>Microsoft DP-900 Exam Dumps<\/b><\/a> and Practice Test Dumps.<\/b><\/h2>\n

 <\/p>\n

Question 281<\/b><\/h3>\n

Which Azure service provides a managed relational database based on the SQL Server engine?<\/b><\/p>\n

    \n
  1. Azure Cosmos DB<\/span><\/li>\n
  2. Azure SQL Database<\/span><\/li>\n
  3. Azure Blob Storage<\/span><\/li>\n
  4. Azure Table Storage<\/span><\/li>\n<\/ol>\n

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

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

    Azure SQL Database is a fully managed relational database service based on the Microsoft SQL Server database engine. It supports relational concepts such as tables, relationships, indexes, constraints, transactions, and SQL queries. Microsoft manages much of the underlying infrastructure, reducing administrative tasks for organizations. Azure Cosmos DB is a NoSQL database service, Blob Storage is designed for object storage, and Table Storage provides NoSQL key-attribute storage. Azure SQL Database is therefore a suitable choice when an application requires a managed relational database using SQL Server technologies.<\/span><\/p>\n

    Question 282<\/b><\/h3>\n

    Which type of data is commonly represented using JSON or XML?<\/b><\/p>\n

      \n
    1. Unstructured data<\/span><\/li>\n
    2. Structured data<\/span><\/li>\n
    3. Semi-structured data<\/span><\/li>\n
    4. Binary data<\/span><\/li>\n<\/ol>\n

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

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

      JSON and XML are commonly considered semi-structured data formats. They contain organizational elements such as keys, tags, attributes, and nested structures, but they do not require the rigid rows-and-columns schema of a relational database. This makes them useful for applications and APIs where data structures may vary or evolve. Structured data follows a predefined schema, while unstructured data includes items such as images, audio, and video. Semi-structured data provides a balance between flexibility and organization, making JSON and XML popular formats for exchanging and storing application data.<\/span><\/p>\n

      Question 283<\/b><\/h3>\n

      Which Azure service is used to create pipelines that move data between different systems?<\/b><\/p>\n

        \n
      1. Azure Data Factory<\/span><\/li>\n
      2. Azure Files<\/span><\/li>\n
      3. Azure Cosmos DB<\/span><\/li>\n
      4. Azure Queue Storage<\/span><\/li>\n<\/ol>\n

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

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

        Azure Data Factory is a cloud-based data integration service used to create pipelines for moving and transforming data. It can connect to many different data sources and destinations and can orchestrate activities such as copying data, executing transformations, and triggering processing tasks. Data Factory is commonly used in ETL and ELT solutions. Azure Files provides shared file storage, Cosmos DB provides NoSQL database capabilities, and Queue Storage provides asynchronous messaging. Therefore, Azure Data Factory is the appropriate choice when an organization needs to coordinate data movement across multiple systems.<\/span><\/p>\n

        Question 284<\/b><\/h3>\n

        Which SQL statement is used to add a new record to a table?<\/b><\/p>\n

          \n
        1. UPDATE<\/span><\/li>\n
        2. DELETE<\/span><\/li>\n
        3. SELECT<\/span><\/li>\n
        4. INSERT<\/span><\/li>\n<\/ol>\n

          Correct Answer: 4<\/b><\/p>\n

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

          The INSERT statement is used to add new rows to a relational database table. It can specify values for individual columns or provide values for all required columns. For example, an application can use INSERT when a new customer registers or when a new product is added. SELECT retrieves existing data, UPDATE modifies existing records, and DELETE removes records. INSERT is therefore an important SQL data manipulation operation for creating new records. Database constraints can also be applied during an INSERT operation to ensure that the new data follows defined rules.<\/span><\/p>\n

          Question 285<\/b><\/h3>\n

          Which Azure storage service is optimized for storing large files and other objects?<\/b><\/p>\n

            \n
          1. Azure Blob Storage<\/span><\/li>\n
          2. Azure Queue Storage<\/span><\/li>\n
          3. Azure Table Storage<\/span><\/li>\n
          4. Azure Files<\/span><\/li>\n<\/ol>\n

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

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

            Azure Blob Storage is designed for storing large amounts of unstructured object data. It can store images, videos, documents, backups, logs, and other files. Objects are organized into containers and can be accessed by applications through Azure-supported interfaces. Blob Storage is highly scalable and is commonly used for media storage, backups, data lakes, and application content. Queue Storage is designed for messages, Table Storage provides NoSQL entity storage, and Azure Files provides shared file-system capabilities. Blob Storage is therefore the appropriate choice for scalable object and file-like data storage.<\/span><\/p>\n

            Question 286<\/b><\/h3>\n

            Which database type is most suitable for storing data where relationships between entities are the primary focus?<\/b><\/p>\n

              \n
            1. Document database<\/span><\/li>\n
            2. Graph database<\/span><\/li>\n
            3. Key-value database<\/span><\/li>\n
            4. Object storage<\/span><\/li>\n<\/ol>\n

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

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

              A graph database is designed specifically to represent entities and the relationships connecting them. Entities are usually represented as nodes, while relationships are represented as edges. This structure makes graph databases useful for social networks, recommendation systems, fraud detection, network analysis, and other scenarios where understanding connections is important. Document databases focus on JSON-like documents, key-value databases focus on key-based retrieval, and object storage is designed for files and other objects. Therefore, graph databases are especially useful when the relationships between data elements are central to the application.<\/span><\/p>\n

              Question 287<\/b><\/h3>\n

              Which ACID property ensures that committed data remains available after a system failure?<\/b><\/p>\n

                \n
              1. Isolation<\/span><\/li>\n
              2. Consistency<\/span><\/li>\n
              3. Atomicity<\/span><\/li>\n
              4. Durability<\/span><\/li>\n<\/ol>\n

                Correct Answer: 4<\/b><\/p>\n

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

                Durability is the ACID property that ensures changes made by a successfully committed transaction are preserved even if the system experiences a failure afterward. This is important because users and applications need confidence that committed operations will not simply disappear. Atomicity ensures that transactions complete fully or not at all, consistency maintains valid database rules, and isolation controls how concurrent transactions interact. Durability is especially important in financial systems, order processing, inventory management, and other applications where losing committed transactions could cause serious data integrity problems.<\/span><\/p>\n

                Question 288<\/b><\/h3>\n

                Which Azure service provides a NoSQL database designed for globally distributed applications?<\/b><\/p>\n

                  \n
                1. Azure SQL Database<\/span><\/li>\n
                2. Azure Database for PostgreSQL<\/span><\/li>\n
                3. Azure Cosmos DB<\/span><\/li>\n
                4. Azure Data Factory<\/span><\/li>\n<\/ol>\n

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

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

                  Azure Cosmos DB is a managed NoSQL database service designed for scalable and globally distributed applications. It supports flexible data models and allows data to be distributed across geographic regions. This makes it useful for applications that require low-latency access to data from different locations. Cosmos DB can support scenarios such as global web applications, IoT solutions, personalization systems, and other modern workloads. Azure SQL Database and PostgreSQL are relational database services, while Data Factory focuses on data integration. Cosmos DB is therefore the suitable choice for globally distributed NoSQL workloads.<\/span><\/p>\n

                  Question 289<\/b><\/h3>\n

                  Which workload type is designed for complex analytical queries and aggregations?<\/b><\/p>\n

                    \n
                  1. OLTP<\/span><\/li>\n
                  2. OLAP<\/span><\/li>\n
                  3. File sharing<\/span><\/li>\n
                  4. Message processing<\/span><\/li>\n<\/ol>\n

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

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

                    OLAP, or Online Analytical Processing, is designed for complex queries, aggregations, and analysis of large datasets. Analytical systems commonly examine historical information to identify trends, patterns, and business insights. Data warehouses and analytical platforms are often optimized for OLAP workloads. OLTP systems are instead designed for frequent operational transactions such as order creation and account updates. File sharing and message processing serve different purposes. OLAP is therefore the workload type most closely associated with business intelligence, reporting, historical analysis, and complex analytical queries.<\/span><\/p>\n

                    Question 290<\/b><\/h3>\n

                    Which Azure service provides shared cloud file storage for applications?<\/b><\/p>\n

                      \n
                    1. Azure Blob Storage<\/span><\/li>\n
                    2. Azure Queue Storage<\/span><\/li>\n
                    3. Azure Files<\/span><\/li>\n
                    4. Azure Event Hubs<\/span><\/li>\n<\/ol>\n

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

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

                      Azure Files provides managed cloud-based file shares that applications and machines can access through supported file-sharing protocols. It is useful for shared application files, configuration data, documents, and migration of traditional file-server workloads. Unlike Blob Storage, which stores objects, Azure Files provides a file-system-oriented experience. Queue Storage is designed for asynchronous messages, while Event Hubs is intended for high-volume event ingestion. Azure Files is therefore the appropriate choice when an application needs shared file storage that can be accessed by multiple clients.<\/span><\/p>\n

                      Question 291<\/b><\/h3>\n

                      Which SQL clause is used to filter rows before grouping and aggregation?<\/b><\/p>\n

                        \n
                      1. WHERE<\/span><\/li>\n
                      2. ORDER BY<\/span><\/li>\n
                      3. GROUP BY<\/span><\/li>\n
                      4. JOIN<\/span><\/li>\n<\/ol>\n

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

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

                        The WHERE clause is used to filter individual rows based on a specified condition. It is generally applied before GROUP BY and aggregation operations. For example, a query can use WHERE to select only orders from a particular year before calculating totals by customer. GROUP BY organizes rows into groups, ORDER BY sorts the final results, and JOIN combines related tables. Using WHERE can reduce the amount of data that needs to be processed by later query operations. Therefore, WHERE is the appropriate clause for filtering rows before grouping.<\/span><\/p>\n

                        Question 292<\/b><\/h3>\n

                        Which Azure service is designed to ingest large volumes of event data from applications and devices?<\/b><\/p>\n

                          \n
                        1. Azure Files<\/span><\/li>\n
                        2. Azure Event Hubs<\/span><\/li>\n
                        3. Azure Table Storage<\/span><\/li>\n
                        4. Azure SQL Database<\/span><\/li>\n<\/ol>\n

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

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

                          Azure Event Hubs is a managed event ingestion service designed to handle large volumes of events from applications, devices, and other sources. It is commonly used for telemetry, IoT data, application logs, and streaming data pipelines. Event Hubs can receive incoming events and make them available for downstream processing or storage. Azure Stream Analytics can process such streams in real time. Azure Files provides file storage, Table Storage provides NoSQL entities, and SQL Database provides relational database functionality. Event Hubs is therefore the appropriate service for high-volume event ingestion.<\/span><\/p>\n

                          Question 293<\/b><\/h3>\n

                          Which database constraint is used to ensure that a column contains unique values?<\/b><\/p>\n

                            \n
                          1. FOREIGN KEY<\/span><\/li>\n
                          2. CHECK<\/span><\/li>\n
                          3. UNIQUE<\/span><\/li>\n
                          4. DEFAULT<\/span><\/li>\n<\/ol>\n

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

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

                            The UNIQUE constraint ensures that duplicate values are not stored in a column or combination of columns. For example, an application may require every user’s email address to be unique. A UNIQUE constraint can enforce this requirement at the database level. A foreign key establishes a relationship between tables, CHECK enforces a specified condition, and DEFAULT supplies a value when one is not provided. A primary key also enforces uniqueness while serving as the main identifier for rows. The UNIQUE constraint is specifically useful when another column must contain distinct values.<\/span><\/p>\n

                            Question 294<\/b><\/h3>\n

                            Which Azure service is used for large-scale analytical workloads and data warehousing?<\/b><\/p>\n

                              \n
                            1. Azure Synapse Analytics<\/span><\/li>\n
                            2. Azure Queue Storage<\/span><\/li>\n
                            3. Azure Files<\/span><\/li>\n
                            4. Azure Database for MySQL<\/span><\/li>\n<\/ol>\n

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

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

                              Azure Synapse Analytics is designed for large-scale analytics and data warehousing scenarios. It provides capabilities that organizations can use to analyze large datasets, perform complex queries, integrate data, and support business intelligence workloads. Synapse is commonly used when organizations need analytical processing rather than simple transactional database operations. Queue Storage provides messaging, Azure Files provides shared file storage, and Azure Database for MySQL provides managed relational database capabilities. Therefore, Azure Synapse Analytics is the most suitable choice for large-scale analytical and data warehousing requirements.<\/span><\/p>\n

                              Question 295<\/b><\/h3>\n

                              Which type of processing handles data as a collection at scheduled intervals?<\/b><\/p>\n

                                \n
                              1. Stream processing<\/span><\/li>\n
                              2. Batch processing<\/span><\/li>\n
                              3. Interactive processing<\/span><\/li>\n
                              4. Event processing<\/span><\/li>\n<\/ol>\n

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

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

                                Batch processing collects data and processes it as a group, often according to a schedule or after a specific amount of data has accumulated. For example, an organization might process all sales transactions from the previous day during an overnight job. Batch processing is useful when immediate results are not required and large quantities of data can be handled together. Stream processing works continuously as events arrive and is more appropriate for low-latency scenarios. Therefore, batch processing is the correct approach when data is intentionally collected and processed in groups.<\/span><\/p>\n

                                Question 296<\/b><\/h3>\n

                                Which Azure service provides a managed relational database based on PostgreSQL?<\/b><\/p>\n

                                  \n
                                1. Azure Database for PostgreSQL<\/span><\/li>\n
                                2. Azure Cosmos DB<\/span><\/li>\n
                                3. Azure Blob Storage<\/span><\/li>\n
                                4. Azure Table Storage<\/span><\/li>\n<\/ol>\n

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

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

                                  Azure Database for PostgreSQL is a managed relational database service based on the PostgreSQL engine. It provides PostgreSQL functionality while Azure manages much of the underlying infrastructure. Applications can use SQL queries, tables, indexes, relationships, constraints, and transactions. It is suitable for applications that depend on PostgreSQL compatibility and relational database functionality. Cosmos DB is a NoSQL service, Blob Storage provides object storage, and Table Storage provides NoSQL key-attribute storage. Therefore, Azure Database for PostgreSQL is the appropriate option for managed PostgreSQL workloads.<\/span><\/p>\n

                                  Question 297<\/b><\/h3>\n

                                  Which data integration approach loads data before performing transformations?<\/b><\/p>\n

                                    \n
                                  1. ETL<\/span><\/li>\n
                                  2. ELT<\/span><\/li>\n
                                  3. OLTP<\/span><\/li>\n
                                  4. OLAP<\/span><\/li>\n<\/ol>\n

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

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

                                    ELT stands for Extract, Load, Transform. In this approach, data is extracted from source systems and loaded into a target platform before transformations are performed. Modern cloud data platforms can make this approach practical because they provide significant processing capacity for transforming large datasets after ingestion. ETL follows a different sequence in which transformation happens before loading. OLTP and OLAP refer to transaction-processing and analytical workloads rather than data integration sequences. ELT can be useful when organizations want to preserve raw data in a scalable analytical platform before applying transformations.<\/span><\/p>\n

                                    Question 298<\/b><\/h3>\n

                                    Which Azure service provides NoSQL storage using entities with partition and row keys?<\/b><\/p>\n

                                      \n
                                    1. Azure Table Storage<\/span><\/li>\n
                                    2. Azure Blob Storage<\/span><\/li>\n
                                    3. Azure Files<\/span><\/li>\n
                                    4. Azure SQL Database<\/span><\/li>\n<\/ol>\n

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

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

                                      Azure Table Storage is a NoSQL key-attribute data store that uses entities and properties. Entities are identified using partition keys and row keys, allowing applications to efficiently organize and retrieve data. Table Storage is useful for scalable workloads that do not require the relational features of a traditional SQL database. Blob Storage is designed for objects, Azure Files provides shared file storage, and Azure SQL Database is a relational database service. Azure Table Storage is therefore the appropriate option when applications require simple NoSQL storage based on partition and row keys.<\/span><\/p>\n

                                      Question 299<\/b><\/h3>\n

                                      Which SQL command is used to modify existing data in a table?<\/b><\/p>\n

                                        \n
                                      1. INSERT<\/span><\/li>\n
                                      2. SELECT<\/span><\/li>\n
                                      3. UPDATE<\/span><\/li>\n
                                      4. CREATE<\/span><\/li>\n<\/ol>\n

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

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

                                        The UPDATE statement is used to modify existing records in a relational database table. It can change one or more columns for rows that meet a specified condition. A WHERE clause is commonly used to ensure that only intended records are modified. INSERT creates new rows, SELECT retrieves existing data, and CREATE is used to define database objects such as tables. UPDATE is therefore the correct SQL operation when information already stored in a table needs to be changed, such as updating a customer’s address or changing an item’s price.<\/span><\/p>\n

                                        Question 300<\/b><\/h3>\n

                                        Which Azure service is designed to continuously process incoming streaming data?<\/b><\/p>\n

                                          \n
                                        1. Azure Data Factory<\/span><\/li>\n
                                        2. Azure Stream Analytics<\/span><\/li>\n
                                        3. Azure Files<\/span><\/li>\n
                                        4. Azure Database for MySQL<\/span><\/li>\n<\/ol>\n

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

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

                                          Azure Stream Analytics is designed to continuously process and analyze incoming streaming data. It can apply queries to events as they arrive, allowing organizations to filter information, calculate aggregates, detect patterns, and generate real-time outputs. Common scenarios include IoT telemetry, application monitoring, fraud detection, and live analytics. Azure Data Factory focuses on data integration and pipeline orchestration, Azure Files provides shared file storage, and Azure Database for MySQL provides relational database capabilities. Stream Analytics is therefore the appropriate Azure service when the requirement is continuous analysis of incoming event streams.<\/span><\/p>\n

                                           <\/p>\n","protected":false},"excerpt":{"rendered":"

                                          View Full Microsoft DP-900 Exam Dumps and Practice Test Dumps.   Question 281 Which Azure service provides a managed relational database based on the SQL Server engine? Azure Cosmos DB Azure SQL Database Azure Blob Storage Azure Table Storage Correct Answer: 2 Explanation Azure SQL Database is a fully managed relational database service based on […]<\/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\/17136"}],"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=17136"}],"version-history":[{"count":1,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/17136\/revisions"}],"predecessor-version":[{"id":17137,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/17136\/revisions\/17137"}],"wp:attachment":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/media?parent=17136"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/categories?post=17136"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/tags?post=17136"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}