Microsoft Azure Data Fundamentals (DP - 900) Exam Dumps & Questions 2025 Microsoft Azure Data Fundamentals (DP - 900) Exam Questions 2025 Contains 600+ exam questions to pass the exam in first attempt. SkillCertPro offers real exam questions for practice for all major IT certifications. For a full set of 640 questions. Go to https://skillcertpro.com/product/microsoft - azure - data - fundamentals - dp - 900 - exam - questions/ SkillCertPro offers detailed explanations to each question which helps to understand the concepts better. It is recommended to score above 85% in SkillCertPro exams before attempting a real exam. SkillCertPro updates exam questions every 2 weeks. You will get life time access and life time free updates SkillCertPro assures 100% pass guarantee in first attempt. Below are the free 10 sample questions. Question 1: If the description below is correct, please select [Yes]. If not correct, select No. Use relational databases when you need strong consistency guarantees. A. Yes B. No Answer: A Explanation: A Relational Database Management System (RDB MS) organizes data into two - dimensional tables consisting of rows and columns. RDBMSs typically implement a transactionally consistent mechanism for updating data, adhering to the ACID (Atomicity, Consistency, Isolation, Durability) model. This model ensu res strong consistency guarantees, making it highly effective when data integrity is critical. Atomicity: Ensures that all operations within a transaction are completed successfully; otherwise, the transaction is rolled back. Consistency: Guarantees that a transaction brings the database from one valid state to another. Isolation: Prevents concurrent transactions from interfering with each other. Durability: Ensures that committed transactions are permanently recorded, even in the event of system failures. For more details, refer to Microsoft Learn: https://learn.microsoft.com/en - us/azure/architecture/guide/technology - choices/data - store - overview#relational - database - management - systems Question 2: Pair the datastore service with a suitable description. Allow users to access data using the Service Server Message Block (SMB) protocol. A. Azure Blob Storage B. Azure Cosmos DB C. Azure Files D. Azure table storage Answer: C Explanation: Azure Files provides fully managed cloud file shares accessible from anywhere via industry - standa rd Server Message Block (SMB) protocols, Network File System (NFS) protocols, and the Azure Files REST API. Option 1 is incorrect. Azure Blob Storage is a highly scalable object store for text and binary data. Option 2 is incorrect. Azure Cosmos DB is a fu lly managed NoSQL database. Option 3 is incorrect. Azure Table Storage is a NoSQL store for schemaless storage of structured data. reference: https://learn.microsoft.com/en - us/azure/storage/common/storage - introduction#sample - scenarios - for - azure - storage - ser vices Question 3 : Which Azure services can be used to provision Spark clusters?(choose two) A. Azure Databricks B. Azure Time Series Insights C. Azure Log Analytics D. Azure HD Insight Answer: A and D Explanation: Azure Databricks is a fast, easy - to - use Apache Spark - based big data analytics service designed for data science and data engineering. Azure HDInsight is a managed Apache Hadoop service that enables you to run Apache Spark, Apache Hive, Apache Kafka, Apache HBase, and more in the cloud. Option 2 is incorrect. Azure Time Series Insights is an open, scalable, end - to - end IoT analytics service that cannot be provisioned with Spark clusters. Option 3 is incorrect. Azure Log Analytics is a tool in the Azure portal to edit and run log queries from data collected by Azure Monitor and interactively analyze the results, and cannot provision Spark clusters. Reference: https://azure.microsoft.com/ja - jp/products/databricks https://learn.microsoft.com/en - us/training/modules/explore - fundamentals - stream - processing/6 - spark - streaming https://learn.microsoft. com/en - us/training/modules/intro - to - azure - hdinsight/2 - what - is - azure - hdinsight https://learn.microsoft.com/en - us/azure/hdinsight/hdinsight - overview Question 4 : If the description below is correct, please select [Yes]. If not correct, select No. Extract, Load, Tra nsform (ELT) transforms data using computing resources independent of source and destination systems. A. Yes B. No Answer: B Explanation: Extract Load Transform (ELT) differs from ETL only where the transformation takes place. In an ELT pipeline, transformations occur in the targe t data store. Instead of using a separate transformation engine, the processing capabilities of the target data store are used for data transformation. Reference: https://learn.microsoft.com/en - us/azure/architecture/data - guide/relational - data/etl#extract - load - and - transform - elt Question 5 : Which of the following tools can be used in macOS to access data stored in Azure SQL Database? A. Azure Storage Explorer B. SQL Server Data To ols C. Azure Data Studio D. SQL Server Management Studio Answer: C Explanation: Azure Data Studio is a cross - platform database tool for data professionals using on - premises and cloud data platforms on Windows, macOS, and Linux. https://docs.microsoft.com/en - us/sql/azure - data - stud io/what - is - azure - data - studio Incorrect answers: SQL Server Data Tools (SSDT) is a modern development tool for building SQL Server relational databases, databases in Azure SQL, Analysis Services (AS) data models, Integration Services (IS) packages, and Rep orting Services (RS) reports. https://docs.microsoft.com/en - us/sql/ssdt/download - sql - server - data - tools - ssdt?view=sql - server - ver15 SQL Server Management Studio (SSMS) is a software application first launched with Microsoft SQL Server 2005 that is used for configuring, managing, and administering all components within Microsoft SQL Server. https://en.wikipedia.org/wiki/SQL_Server_Management_Studio Azure Storage Explorer Upload, download, and manage Azure blobs, files, queues and tables, as well as Azure Cos mos DB and Azure Data Lake Storage entities. https://azure.microsoft.com/en - in/features/storage - explorer/ For a full set of 640 questions. Go to https://skillcertpro.com/product/microsoft - azure - data - fundamentals - dp - 900 - exam - questions/ SkillCertPro offers detailed explanations to each question which helps to understand the concepts better. It is recommended to score above 85% in SkillCertPro exams before attempting a real exam. SkillCertPro updates exam questions every 2 weeks. You will get life time access and life time free updates SkillCertPro assures 100% pass guarantee in first attempt. Question 6 : You have a SQL pool in Azure Synapse Analytics that is only used actively every night for eight hours. You need to minimize the cost of the SQL pool d uring idle times. The solution must ensure that the data remains intact. What should you do on the SQL pool? A. Delete the pool B. Pause the pool C. Scale down the data warehouse units (DWUs) D. Create a user - defined restore point Answer: B Explanation: Handling Compute Resources in Azure Synapse Analytics (Dedicated SQL Pool) There are two recommended approaches for managing compute resources in a dedicated SQL pool (formerly SQL DW): Pausing the Pool – Best suited when there is zero activity, meaning no scripts or queries will b e running. Pausing the pool stops compute billing while retaining data storage, making it a cost - effective solution when no processing is required. Scaling Down Data Warehouse Units (DWUs) – Ideal when demand fluctuates between two non - zero activity level s. This approach allows you to reduce compute costs while maintaining availability for queries and workloads. Key Architectural Considerations: The dedicated SQL pool architecture separates storage and compute, allowing them to scale independently. This f lexibility enables: Pausing and resuming compute resources to optimize costs. Scaling compute by adjusting DWUs to meet performance demands. Separate billing for compute and storage, ensuring cost efficiency. Incorrect Options ❌ Deleting the Pool – While possible, this is not an ideal approach since it would require an automated script to recreate the pool before executing workloads, adding unnecessary complexity. ❌ Creating a User - Defined Restore Point – This is unrelated to co mpute management. Restore points are used for backup and recovery, protecting against data corruption, not for scaling or pausing resources. Reference 🔗 Azure Synapse Analytics – Managing Compute. https://learn.microsoft.com/en - us/azure/synapse - analytics /sql - data - warehouse/sql - data - warehouse - manage - compute - overview Question 7 : Your company is designing a data store for temperature sensors that will be connected to the internet. The collected data is used to analyze temperature trends. What kind of datastore should yo u use? A. relational B. Time series C. graph D. column - oriented Answer: B Explanation: Time - series databases are generally used for data that has a large number of records and is often analyzed by time, such as data obtained from sensors. Time series data is a set of values ??orga nized by time. Time series databases typically collect large amounts of data from many sources in real time. Updates are rare and deletes are often done as bulk operations. Typically, the records written to a time series database are small, but often there are many, and the overall size of the data can grow exponentially. Reference: https://learn.microsoft.com/en - us/azure/architecture/guide/technology - choices/data - store - overview#time - series - databases Question 8 : You need to use Azure Synapse Analytics to run hybrid tr ansactional and analytical (HTAP) queries against an Azure Cosmos DB data source. what should you use? A. Synapse Studio B. Synapse SQL pool C. Synapse Link D. Synapse pipeline Answer: C Explanation: Azure Synapse Link for Cosmos DB is a cloud - native hybrid transactional and analy tical processing (HTAP) capability. It enables near real - time analytics on operational data in Azure Cosmos DB. Option 1 is incorrect. Azure Synapse Studio is a tool for working with the components of the Azure Synapse Analytics service. Option 2 is incor rect. A Synapse SQL pool refers to a collection of analytical resources provisioned when using Synapse SQL. Option 4 is incorrect. Azure Synapse Analytics lets you create complex pipelines that automate and integrate data movement, data transformation, and compute activities within your solution. Use Synapse Studio to create and monitor these pipelines. Synapse pipelines cannot run hybrid transactional and analytical (HTAP) queries against Azure Cosmos DB data sources. Reference: https://learn.microsoft.com/en - us/azure/cosmos - db/synapse - link Question 9 : Choose an answer and complete the sentence correctly. To query a graph database in Azure Cosmos DB, [ ] A. Query as a partitioned rowstore using Cassandra Query Language (CQL) B. Qu ery as a partitioned rowstore using Language - Integrated Query (LINQ) C. Queries as nodes and edges using the Gremlin language. Answer: C Explanation: Azure Cosmos DB‘s Gremlin API allows users to create graph queries, where data is stored as edges and vertices. The Gremlin API is built on Apache TinkerPop, a graph computing framework that uses the Gremlin query language. Option 1 is incorrect. Cassandra Query Language (CQL) cannot be used against graph databases. Option 2 is incorrect. LINQ cannot be used against graph databases. Reference: https://learn.microsoft.com/en - us/azure/cosmos - db/choose - api https://learn.microsoft.com/en - us/azure/cosmos - db/gremlin/introduction https://learn.microsoft.com/en - us/training/modules/explore - non - relational - data - stores - azure/3 - cosmos - db - apis Question 10 : Pa ir the visualization type with an appropriate description. A chart consisting of multiple nested colored rectangles. The relative size and color of rectangles represent individual data elements. A. major influencers B. Scatter plot C. tree map Answer: C Explanation: A treemap disp lays hierarchical data in a series of nested rectangles. Each level of the hierarchy is represented by a color - coded rectangle (branches) containing smaller rectangles (leaves). Treemaps are used to display large amounts of hierarchical data and to show pr oportions between parts and the whole. Option 1 is incorrect. Key influencers can help you understand what drives the metrics you care about. Analyze the data, rank the factors that matter, and show them as key influencers. For example, you want to unders tand what influences employee turnover (also known as churn). In that case, the main influencers are often the duration of the employment contract or the commute time. Option 2 is incorrect. Scatter plots are used to compare two numerical magnitudes and i dentify relationships or correlations between them. Reference: https://learn.microsoft.com/en - us/power - bi/visuals/power - bi - visualization - treemaps?tabs=powerbi - desktop https://learn.microsoft.com/en - us/power - bi/visuals/power - bi - visualization - influencers?ta bs=powerbi - desktop https://learn.microsoft.com/en - us/training/modules/explore - fundamentals - data - visualization/4 - data - visualizations For a full set of 640 questions. Go to https://skillcertpro.com/product/microsoft - azure - data - fundamentals - dp - 900 - exam - questions/ SkillCertPro offers detailed explanations to each question which helps to understand the concepts better. It is recommended to score above 85% in SkillCertP ro exams before attempting a real exam. SkillCertPro updates exam questions every 2 weeks. You will get life time access and life time free updates SkillCertPro assures 100% pass guarantee in first attempt.