Microsoft Azure Data Fundamentals: DP-900 Exam


"Microsoft Azure Data Fundamentals", also known as DP-900 exam, is a Microsoft Certification. With the complete collection of questions and answers, PrepAwayPDF has assembled to take you through 340 Q&As to your DP-900 Exam preparation. In the DP-900 exam resources, you will cover every field and category in Microsoft Certified: Azure Data Fundamentals Certification helping to ready you for your successful Microsoft Certification.

  • Exam Code: DP-900
  • Exam Name: Microsoft Azure Data Fundamentals
  • Total Questions: 340

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Microsoft DP-900 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Microsoft Azure Data Fundamentals
Exam Number:DP-900
Passing Score:700 / 1000
Exam Duration:60 minutes
Certificate Validity Period:Lifetime
Exam Format:Multiple choice, Multiple select, Scenario-based questions, Drag-and-drop
Real Exam Qty:40–60
Related Certifications:Azure Database Administrator Associate
Azure Data Engineer Associate
Azure Data Scientist Associate
Available Languages:Portuguese (Brazil), Russian, Spanish, Chinese (Traditional), English, Japanese, Chinese (Simplified), Indonesian, German, Arabic, Korean, French
Exam Price:$99 USD
Recommended Training:DP-900T00: Microsoft Azure Data Fundamentals
Microsoft Learn Free Learning Path
Exam Registration:Pearson VUE
Certiport (for students/educators)
Sample Questions: DOWNLOAD DEMO
Exam Way:Online proctored or onsite at authorized test centers
Pre Condition:No prerequisites required
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/dp-900

Microsoft DP-900 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Describe an analytics workload on Azure25–30%- Describe big data and analytics concepts
  • 1. Data lakes and data warehouses
    • 2. Modern data warehouse architecture
      • 3. Data ingestion and processing
        - Describe Azure analytics services
        • 1. Microsoft Fabric
          • 2. Azure Databricks
            • 3. Azure Data Lake Storage Gen2
              • 4. Azure Synapse Analytics
                • 5. Azure HDInsight
                  - Describe data visualization
                  • 1. Power BI capabilities
                    • 2. Data models and reports
                      - Describe real-time analytics
                      • 1. Azure Stream Analytics
                        • 2. Stream processing concepts
                          Topic 2: Describe core data concepts25–30%- Describe types of data
                          • 1. File formats
                            • 2. Structured, semi-structured, and unstructured data
                              - Describe data workloads
                              • 1. Batch and streaming data
                                • 2. Analytical workloads
                                  • 3. Transactional workloads
                                    - Describe roles and responsibilities
                                    • 1. Data engineer, data analyst, database administrator
                                      Topic 3: Identify considerations for relational data on Azure20–25%- Describe Azure relational data services
                                      • 1. Open-source databases: PostgreSQL, MySQL, MariaDB
                                        • 2. SQL Server on Azure Virtual Machines
                                          • 3. Azure SQL Managed Instance
                                            • 4. Azure SQL Database
                                              - Describe relational data concepts
                                              • 1. Query data with SQL
                                                • 2. Normalization
                                                  • 3. Relationships, keys, constraints
                                                    Topic 4: Describe considerations for working with non-relational data on Azure15–20%- Describe Azure storage services
                                                    • 1. Blob Storage
                                                      • 2. File Storage
                                                        • 3. Queue Storage
                                                          • 4. Table Storage
                                                            - Describe non-relational data concepts
                                                            • 1. Use cases for non-relational data
                                                              • 2. Characteristics of NoSQL data
                                                                - Describe Azure Cosmos DB
                                                                • 1. Consistency levels and partitioning
                                                                  • 2. APIs and data models
                                                                    • 3. Capabilities and features

                                                                      Microsoft DP-900: Before You Decide

                                                                      The Microsoft Azure Data Fundamentals exam is split across 4 areas, with Describe considerations for working with non-relational data on Azure (15–20%), Identify considerations for relational data on Azure (20–25%), Describe core data concepts (25–30%) carrying the most weight. Study in proportion to those shares — the full outline is in the section above this page.

                                                                      The Microsoft Azure Data Fundamentals exam costs $99 USD per attempt, with 700 / 1000 required to pass. Fail, and that fee returns in full for the retake. Practice with PrepAwayPDF questions until your timed mock scores clear 700 / 1000 comfortably — then the exam fee is a single payment, not a subscription.

                                                                      The DP-900 exam is Microsoft's official certification test — passing it earns the Microsoft Certified: Azure Data Fundamentals credential at the Fundamentals level. Its influence comes from how practical it is: employers use the Microsoft Azure Data Fundamentals certificate as proof that you can do the work, not just talk about it. It also connects to Azure Database Administrator Associate, Azure Data Engineer Associate, Azure Data Scientist Associate, giving the credential a natural next step.

                                                                      Yes — PrepAwayPDF offers a free demo of the Microsoft Azure Data Fundamentals questions so you can see the quality before you pay. After purchase, 365 days of free updates are included; once the year expires, renew the update service at a 50% discount from your member zone.

                                                                      Registration is handled through Microsoft's official channels:

                                                                      Delivery of the exam itself is via Online proctored or onsite at authorized test centers.

                                                                      Delivery is instant: your DP-900 product is emailed within one minute of payment — if nothing arrives within 2 hours, check spam and contact our 7x24 support; we reply within two hours and resend immediately. On failure, the guarantee has written terms: sit the corresponding DP-900 exam within 60 days of purchase, submit a scanned enrollment slip and the official Score Report PDF within 2 days after the exam, and the refund completes within 7 days. The policy covers the corresponding exam only; attempts within 3 days of purchase, exams never actually taken, free materials, and expired orders are excluded, and the candidate name must match the payer name. If you prefer, exchange your product for two free exam products of equal value and keep the update service on the original.

                                                                      Yes, the vendor recommends these options:

                                                                      Training covers the theory; the 340 practice questions for the DP-900 exam from PrepAwayPDF test it under real exam conditions.

                                                                      The Microsoft Azure Data Fundamentals exam contains 40–60 questions within 60 minutes. That is a tight ratio — the candidates who finish calmly are the ones who practiced under a clock. Run full timed sessions in the PrepAwayPDF test engine until DP-900 exam pacing becomes habit, not hope.

                                                                      No prerequisites required These rules are set by Microsoft and may change, so confirm the current requirements on the official exam page: https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/dp-900 before registering for the Microsoft Azure Data Fundamentals exam.

                                                                      Microsoft Azure Data Fundamentals Sample Questions:

                                                                      Your company plans to load data from a customer relationship management (CRM) system to a data warehouse by using an extract load, and transform (ELT) process.
                                                                      Where does data processing occur for each stage of the ELT process? To answer, drag the appropriate locations to the correct. Each location may be used once, or not at all, You may need to drag the split bar between panes or scroll to view content.
                                                                      NOTE: Each correct selection is worth one point.

                                                                      Reveal Solution  Discussion  0

                                                                      Correct Answer:


                                                                      Explanation:

                                                                      Box 1: The CRM system
                                                                      Data is extracted from the CRM system.
                                                                      Box 2: The data warehouse
                                                                      Data is loaded to the data warehouse.
                                                                      Box 3: An in-memory data integration tool
                                                                      The data transformation that takes place usually involves various operations, such as filtering, sorting, aggregating, joining data, cleaning data, deduplicating, and validating data.

                                                                      Reference:
                                                                      https://docs.microsoft.com/en-us/azure/architecture/data-guide/relational-data/etl

                                                                      What are two characteristics of real-time data processing? Each correct answer present a complete solution.
                                                                      NOTE: Each correct selection is worth one point.

                                                                      • A. Low latency is expected
                                                                      • B. High latency acceptable
                                                                      • C. Data is processed periodically
                                                                      • D. Data is processed as it is created.
                                                                      Reveal Solution  Discussion  0

                                                                      Correct Answer: A,D  🗳️

                                                                      Explanation: Only visible for PrepAwayPDF members. You can sign-up / login (it's free).

                                                                      You have an Azure subscription that contains an Azure Data Lake Storage Gen2 account named accounts account1 stores raw sales transaction data from multiple regions.
                                                                      You need to create an analytical data store that will ingest and analyze the data.
                                                                      What should you use?

                                                                      • A. a semantic model
                                                                      • B. account1
                                                                      • C. a NoSQL database
                                                                      • D. a relational data warehouse
                                                                      Reveal Solution  Discussion  0

                                                                      Correct Answer: D  🗳️

                                                                      Select the answer that correctly completes the sentence.

                                                                      Reveal Solution  Discussion  0

                                                                      Correct Answer:


                                                                      To complete the sentence, select the appropriate option in the answer area.

                                                                      Reveal Solution  Discussion  0

                                                                      Correct Answer:


                                                                      Explanation:

                                                                      Disadvantages of non-relational databases include: Data Consistency - non-relational databases do not perform ACID transactions.
                                                                      Note: Relational databases are optimized for writes. They are optimized for consistency and availability.
                                                                      Advantages of relational databases include simplicity, ease of data retrieval, data integrity, and flexibility.
                                                                      Reference:
                                                                      https://towardsdatascience.com/choosing-the-right-database-c45cd3a28f77

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