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DP-900 Test Collection | Latest DP-900 Test Vce

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Posted on: 05/15/25

2025 Latest ActualVCE DP-900 PDF Dumps and DP-900 Exam Engine Free Share: https://drive.google.com/open?id=1gb99Ux1NC1DLt_7vFCjKY38ubEUEmPLY

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Microsoft DP-900 (Microsoft Azure Data Fundamentals) certification exam is designed to test the knowledge and understanding of individuals on foundational concepts of data and how it is managed in the cloud using Microsoft Azure technologies. Whether you are a data professional or an IT specialist, this certification is a great way to validate your skills and knowledge in the field of data management.

Microsoft DP-900 (Microsoft Azure Data Fundamentals) Certification Exam is a globally recognized certification that validates the foundational knowledge of individuals in the field of data analytics and data management. DP-900 Exam is designed to test the candidate's understanding of core database concepts, various types of data workloads, data analytics, and data processing technologies in the Microsoft Azure environment. The DP-900 certification is an entry-level certification that can be achieved by anyone who is interested in pursuing a career in the field of data analytics and data management.

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Explain Analytics Workloads on Azure: 25-30%

  • Explain Data Visualization within Microsoft Power BI: You need to have competence in explaining the function of dashboards, interactive reports, and paginated reporting, as well as the workflow within Power BI.
  • Explain Data Processing & Ingestion on Azure: The learners should be able to explain the fundamental practices for data loading, Azure Data Factory components, and data processing options.
  • Explain Modern Data Warehouse Components: The test takers should understand Azure data services for the latest data warehousing, including Azure Synapse Analytics, Azure HDInsight, Azure Data Lake, and Azure Databricks, as well as explainin the workload and architecture for modern data warehousing.
  • Explain Analytics Workloads: The applicants should be able to explain transactional workloads, data warehousing workloads, and when data warehouse solutions are needed. This subtopic also covers their skills and knowledge associated with the differences between analytics and a transactional workload as well as the differences between real-time and batch.

Microsoft Azure Data Fundamentals Sample Questions (Q275-Q280):

NEW QUESTION # 275
Which type of database is Azure Database for PostgreSQL?

  • A. Microsoft SQL Server
  • B. Infrastructure as a service (laaS)
  • C. on-premises
  • D. Platform as a service (PaaS)

Answer: D

Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/postgresql/overview-postgres-choose-server-options


NEW QUESTION # 276
To complete thesentence, select the appropriate option in the answer area.

Answer:

Explanation:

Explanation
Graphical user interface, text, application Description automatically generated


NEW QUESTION # 277
In which two situations should you use a data warehousing solution? Each correct answer presents a complete solution.

  • A. You want to provide a platform for data mining.
  • B. You want to consolidate data from multiple sources into a non-relational store.
  • C. You want to generate reports from historical data without impacting transactional processing.
  • D. You want to optimize performance for a widely distributed transactional processing application.

Answer: A,C

Explanation:
Two common use cases for data warehousing are:
- You want to generate reports from historical data without impacting transactional processing.
- You want to provide a platform for data mining.
Data warehousing lets you consolidate data from multiple sources for analysis and reporting.
Data stores are optimized for read operations with few, if any, writes performed on the data.
There are typically no locking requirements in a data warehouse.
You are not consolidating data into a non-relational store. Azure data warehousing solutions use relational data with a schema strongly enforced on data load and write. Data is sometimes less normalized in a data warehousing solution than data for transaction processing. The complex queries and analysis in data warehousing is often better suited to less normalized data.
You would not use a data warehousing solution for a widely distributed transactional processing application. This requires a data solution optimized for write operations that provides for data locking and strong consistency.


NEW QUESTION # 278
Select the answer that correctly completes the sentence.

Answer:

Explanation:

Explanation


NEW QUESTION # 279
You need to recommend a non-relational data store that is optimized for storing and retrieving files, videos, audio stream, and virtual disk images. The data store must store data, some metadata, and a unique ID for each file.
Which type of data store should you recommend?

  • A. object
  • B. columnar
  • C. key/value
  • D. document

Answer: A


NEW QUESTION # 280
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