{"id":17132,"date":"2026-09-21T06:38:06","date_gmt":"2026-09-21T06:38:06","guid":{"rendered":"https:\/\/www.examlabs.com\/certification\/?p=17132"},"modified":"2026-09-21T06:38:06","modified_gmt":"2026-09-21T06:38:06","slug":"microsoft-dp-900-practice-test-questions-and-exam-dumps-part13-q241-260","status":"publish","type":"post","link":"https:\/\/www.examlabs.com\/certification\/microsoft-dp-900-practice-test-questions-and-exam-dumps-part13-q241-260\/","title":{"rendered":"Microsoft DP-900 Practice Test Questions and Exam Dumps Part13 Q241-260"},"content":{"rendered":"<h2><b>View Full <\/b><a href=\"https:\/\/www.examlabs.com\/dp-900-exam-dumps\"><b>Microsoft DP-900 Exam Dumps<\/b><\/a><b> and Practice Test Dumps.<\/b><\/h2>\n<p>&nbsp;<\/p>\n<h3><b>Question 241<\/b><\/h3>\n<p><b>Which Azure service is best suited for storing large amounts of unstructured data such as images and videos?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Azure Blob Storage<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Azure Table Storage<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Azure Queue Storage<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Azure SQL Database<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 1<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Azure Blob Storage is designed to store large amounts of unstructured object data. Common examples include images, videos, documents, backups, logs, and media files. Blob Storage organizes objects into containers and can scale to support very large amounts of data. It is commonly used by applications that need durable cloud storage for files and other objects. Azure Table Storage is intended for NoSQL key-attribute data, Queue Storage is designed for messages, and Azure SQL Database is a relational database service. Therefore, Blob Storage is the appropriate choice for storing unstructured objects.<\/span><\/p>\n<h3><b>Question 242<\/b><\/h3>\n<p><b>Which Azure service is designed to process real-time streaming data?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Azure Data Factory<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Azure Stream Analytics<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Azure Files<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Azure Database for MySQL<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 2<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Azure Stream Analytics is a managed service designed to process and analyze streaming data in real time or near real time. It can continuously evaluate incoming events, filter data, perform aggregations, and generate outputs for downstream systems. Typical scenarios include IoT telemetry, application monitoring, fraud detection, and real-time dashboards. Azure Data Factory focuses primarily on data integration and pipeline orchestration. Azure Files provides shared file storage, while Azure Database for MySQL is a relational database service. Stream Analytics is therefore the appropriate choice when continuously arriving event data needs immediate processing.<\/span><\/p>\n<h3><b>Question 243<\/b><\/h3>\n<p><b>Which database model stores information as key-value pairs?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Document<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Graph<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Key-value<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Relational<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 3<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">A key-value database stores information as pairs consisting of a unique key and its associated value. The value can contain simple information or, depending on the database technology, more complex data. This model is useful when applications primarily need to retrieve data by a known key and do not require complex relationships between records. Document databases organize information as documents, graph databases focus on relationships between entities, and relational databases organize information into tables. Key-value databases are commonly used for caching, session information, configuration data, and other simple high-speed access scenarios.<\/span><\/p>\n<h3><b>Question 244<\/b><\/h3>\n<p><b>Which SQL statement removes existing rows from a table?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">SELECT<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">UPDATE<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">DELETE<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">INSERT<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 3<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">The DELETE statement is used to remove existing rows from a relational database table. A WHERE clause is normally used to specify which records should be deleted. For example, an application can delete a customer record that meets a particular condition. Without an appropriate WHERE clause, a DELETE statement can remove all rows from a table, although the table structure itself remains. SELECT retrieves data, INSERT adds new rows, and UPDATE changes existing rows. DELETE is therefore the SQL data manipulation statement used when records need to be removed.<\/span><\/p>\n<h3><b>Question 245<\/b><\/h3>\n<p><b>Which Azure service provides a managed relational database using PostgreSQL?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Azure Database for PostgreSQL<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Azure Cosmos DB<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Azure Blob Storage<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Azure Event Hubs<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 1<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Azure Database for PostgreSQL is a managed relational database service based on the PostgreSQL database engine. It provides organizations with PostgreSQL capabilities while Microsoft manages much of the underlying infrastructure. Applications can use SQL queries, relational tables, indexes, transactions, and other PostgreSQL features. This service can support web applications, business applications, and workloads that require PostgreSQL compatibility. Azure Cosmos DB is designed for NoSQL workloads, Blob Storage is object storage, and Event Hubs is an event ingestion service. Therefore, Azure Database for PostgreSQL is the appropriate option for managed PostgreSQL databases.<\/span><\/p>\n<h3><b>Question 246<\/b><\/h3>\n<p><b>Which workload is primarily focused on analyzing historical data to identify trends and patterns?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">OLTP<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">OLAP<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Queue processing<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">File sharing<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 2<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">OLAP, or Online Analytical Processing, is designed for analyzing large amounts of data, often including historical information. Analytical workloads commonly involve aggregations, grouping, filtering, comparisons, and complex queries that help organizations identify trends and patterns. Data warehouses and analytical platforms frequently support OLAP workloads. OLTP systems are instead designed for day-to-day transactional operations such as processing orders or updating customer records. Queue processing is used for asynchronous communication, while file sharing focuses on accessing shared files. OLAP is therefore the workload type most closely associated with historical analysis and business intelligence.<\/span><\/p>\n<h3><b>Question 247<\/b><\/h3>\n<p><b>Which database object provides a virtual representation of data based on a stored query?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Index<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">View<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Primary key<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Foreign key<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 2<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">A view is a database object that presents the results of a query as a virtual table. Views can simplify complex queries, provide users with access to selected data, and help hide unnecessary columns or tables from consumers. A view generally does not store a separate copy of the underlying data. An index is primarily used to improve query performance, a primary key uniquely identifies rows, and a foreign key establishes relationships between tables. Views can be particularly useful when applications or analysts repeatedly need access to a specific logical representation of database information.<\/span><\/p>\n<h3><b>Question 248<\/b><\/h3>\n<p><b>Which Azure service is designed for high-volume event ingestion from IoT devices and applications?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Azure Files<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Azure Table Storage<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Azure Event Hubs<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Azure SQL Database<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 3<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Azure Event Hubs is a managed event ingestion service designed to receive large volumes of events from applications, devices, and other sources. It is commonly used for telemetry, IoT data, application logging, and streaming data pipelines. Event Hubs can act as an entry point for event data before that information is processed by services such as Azure Stream Analytics or stored for later analysis. Azure Files provides file shares, Table Storage provides NoSQL entities, and Azure SQL Database is a relational database. Event Hubs is therefore the appropriate service for high-volume event ingestion.<\/span><\/p>\n<h3><b>Question 249<\/b><\/h3>\n<p><b>What is the main purpose of a primary key in a relational table?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">To uniquely identify each row<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">To store binary files<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">To process streaming events<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">To create database backups<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 1<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">A primary key uniquely identifies each row within a relational database table. Its values must be unique so that individual records can be distinguished from one another. A primary key is also generally defined as NOT NULL because every row needs a valid identifier. Other tables can reference a primary key through foreign keys to establish relationships. Primary keys do not primarily provide file storage, streaming processing, or backup functionality. Choosing an appropriate primary key is an important part of relational database design because it supports data integrity and helps establish relationships between related tables.<\/span><\/p>\n<h3><b>Question 250<\/b><\/h3>\n<p><b>Which Azure service is designed to provide shared cloud-based file storage?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Azure Blob Storage<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Azure Files<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Azure Queue Storage<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Azure Cosmos DB<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 2<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Azure Files provides managed cloud file shares that can be accessed by multiple applications and machines. It is useful for workloads that require a shared file-system experience, including applications that previously depended on traditional file servers. Azure Files supports common file-sharing protocols and can be used for application files, configuration files, and migration scenarios. Blob Storage is designed for object storage, Queue Storage provides asynchronous messaging, and Cosmos DB is a NoSQL database service. When an application needs shared files rather than objects or database records, Azure Files is an appropriate Azure service.<\/span><\/p>\n<h3><b>Question 251<\/b><\/h3>\n<p><b>Which approach is commonly used to reduce data duplication in relational databases?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Normalization<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Streaming<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Visualization<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Serialization<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 1<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Normalization is a relational database design technique that helps reduce unnecessary duplication of data. It organizes information into related tables and establishes relationships between those tables. For example, customer information can be stored once in a Customers table while orders reference the customer through a key. This can reduce repeated data and help maintain consistency when information changes. Streaming is concerned with continuously processing events, visualization presents data graphically, and serialization converts data into a transferable representation. Normalization is therefore the database design approach most directly associated with reducing redundant relational data.<\/span><\/p>\n<h3><b>Question 252<\/b><\/h3>\n<p><b>Which Azure service provides a NoSQL database suitable for applications with flexible schemas?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Azure SQL Database<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Azure Cosmos DB<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Azure Files<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Azure Data Factory<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 2<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Azure Cosmos DB is a fully managed NoSQL database service that supports flexible data models and globally distributed applications. NoSQL databases are often useful when application data does not fit neatly into fixed relational tables or when the schema may evolve frequently. Cosmos DB can support document-oriented and other NoSQL scenarios through its available APIs. Azure SQL Database is a relational database service, Azure Files provides shared file storage, and Azure Data Factory is used for data integration. Therefore, Cosmos DB is a suitable choice for applications requiring scalable NoSQL storage and flexible data structures.<\/span><\/p>\n<h3><b>Question 253<\/b><\/h3>\n<p><b>Which ACID property ensures that concurrent transactions do not improperly interfere with one another?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Durability<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Atomicity<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Isolation<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Consistency<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 3<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Isolation is the ACID property that controls how concurrent transactions interact with one another. It helps ensure that one transaction does not improperly observe intermediate or inconsistent changes made by another transaction. Database systems use isolation mechanisms to manage concurrent operations and maintain predictable behavior. Atomicity ensures that a transaction is completed fully or not applied, consistency maintains valid database rules, and durability ensures committed changes survive failures. Isolation is especially important in systems with many users performing transactions simultaneously, such as banking, e-commerce, and order-management applications.<\/span><\/p>\n<h3><b>Question 254<\/b><\/h3>\n<p><b>Which Azure service is commonly used to build data integration pipelines?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Azure Data Factory<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Azure Cosmos DB<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Azure Queue Storage<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Azure Table Storage<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 1<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Azure Data Factory is a cloud-based data integration service used to create and manage pipelines. A pipeline can move data between different sources and destinations and can coordinate activities such as transformations and processing jobs. Data Factory is useful when organizations need to combine information from databases, files, applications, and other systems for analytics or operational purposes. Cosmos DB provides NoSQL database functionality, Queue Storage provides message queues, and Table Storage provides key-attribute data storage. Therefore, Azure Data Factory is the most appropriate choice for orchestrating data integration workflows.<\/span><\/p>\n<h3><b>Question 255<\/b><\/h3>\n<p><b>Which type of data is represented by a traditional table with rows and columns?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Unstructured data<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Semi-structured data<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Structured data<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Binary data<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 3<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Structured data follows a predefined schema and is commonly represented using rows and columns in relational database tables. Each column normally has a defined data type, and relationships between tables can be established through keys. Examples include customer records, product information, employee details, and financial transactions stored in relational databases. Semi-structured data, such as JSON, has organizational elements but does not require a rigid tabular structure. Unstructured data includes items such as videos and images. Therefore, traditional relational tables are a common example of structured data.<\/span><\/p>\n<h3><b>Question 256<\/b><\/h3>\n<p><b>Which Azure service can be used to store simple NoSQL entities using partition and row keys?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Azure Blob Storage<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Azure Files<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Azure Table Storage<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Azure SQL Database<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 3<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Azure Table Storage is a NoSQL key-attribute data store that organizes information into tables containing entities and properties. Entities can be identified using partition keys and row keys, which support efficient access patterns. Table Storage is useful for workloads that need large-scale storage of simple structured information without requiring a traditional relational database schema. Blob Storage stores objects, Azure Files provides file shares, and Azure SQL Database provides relational database functionality. Azure Table Storage is therefore the appropriate service when the requirement is a simple scalable NoSQL entity store using keys.<\/span><\/p>\n<h3><b>Question 257<\/b><\/h3>\n<p><b>Which processing method handles data continuously as events arrive?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Batch processing<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Stream processing<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Static processing<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Archive processing<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 2<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Stream processing handles data continuously as events arrive instead of waiting for a large group of records to accumulate. It is useful when organizations need results with low latency. Examples include processing IoT telemetry, monitoring application activity, analyzing live transactions, and detecting events as they happen. Batch processing instead collects data and processes it as a group, often according to a schedule. Azure services such as Event Hubs and Stream Analytics can be used together in streaming architectures. Stream processing is therefore appropriate when data needs to be processed continuously.<\/span><\/p>\n<h3><b>Question 258<\/b><\/h3>\n<p><b>Which Azure database service is based on the Microsoft SQL Server engine and provides a fully managed relational database?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Azure SQL Database<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Azure Cosmos DB<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Azure Table Storage<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Azure Event Hubs<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 1<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Azure SQL Database is a fully managed relational database service based on the Microsoft SQL Server database engine. It provides support for SQL queries, tables, indexes, relationships, transactions, and database constraints. Microsoft manages much of the infrastructure, allowing organizations to focus on their applications and data. Azure Cosmos DB is a NoSQL database platform, Table Storage provides key-attribute NoSQL storage, and Event Hubs is designed for event ingestion. Azure SQL Database is therefore an appropriate choice when an application requires a managed relational database using SQL Server technologies.<\/span><\/p>\n<h3><b>Question 259<\/b><\/h3>\n<p><b>Which data integration approach transforms data before loading it into the target system?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">ELT<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">ETL<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">OLAP<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">OLTP<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 2<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">ETL stands for Extract, Transform, Load. In an ETL workflow, data is first extracted from source systems, then transformed into the required format, and finally loaded into the target system. Transformations can include cleaning incorrect values, changing data types, filtering records, combining datasets, and calculating new fields. ELT follows a different sequence by loading the data before transforming it. OLTP and OLAP describe transactional and analytical workloads rather than data integration sequences. ETL remains a common approach when organizations want data to be prepared before it reaches the destination system.<\/span><\/p>\n<h3><b>Question 260<\/b><\/h3>\n<p><b>Which Azure service is designed for large-scale analytical workloads and data warehousing?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Azure Queue Storage<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Azure Files<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Azure Synapse Analytics<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Azure Database for MySQL<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 3<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Azure Synapse Analytics is designed to support large-scale analytics and data warehousing workloads. It combines capabilities for analytical SQL processing, data integration, and other analytical scenarios. Organizations can use Synapse to work with large datasets for reporting, business intelligence, historical analysis, and complex analytical queries. Azure Queue Storage focuses on asynchronous messages, Azure Files provides shared file storage, and Azure Database for MySQL is a managed relational database service. When the primary requirement involves enterprise-scale analytics and data warehousing, Azure Synapse Analytics is a relevant Azure platform.<\/span><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>View Full Microsoft DP-900 Exam Dumps and Practice Test Dumps. &nbsp; Question 241 Which Azure service is best suited for storing large amounts of unstructured data such as images and videos? Azure Blob Storage Azure Table Storage Azure Queue Storage Azure SQL Database Correct Answer: 1 Explanation Azure Blob Storage is designed to store large [&hellip;]<\/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\/17132"}],"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=17132"}],"version-history":[{"count":1,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/17132\/revisions"}],"predecessor-version":[{"id":17133,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/17132\/revisions\/17133"}],"wp:attachment":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/media?parent=17132"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/categories?post=17132"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/tags?post=17132"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}