100% Pass Quiz 2026 Microsoft The Best DP-900: New Microsoft Azure Data Fundamentals Exam Cram

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Microsoft DP-900 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Describe an analytics workload on Azure25-30%- Describe analytics concepts
  • 1. Describe transactional workloads
  • 2. Describe analytical workloads
  • 3. Describe ETL and ELT processes
  • 4. Describe data warehousing
- Describe Azure data analytics services
  • 1. Describe Microsoft Fabric
  • 2. Describe Azure Stream Analytics
  • 3. Describe Azure Data Factory
  • 4. Describe Azure Databricks
  • 5. Describe Azure Synapse Analytics
  • 6. Describe Azure HDInsight
- Describe data visualization in Microsoft Power BI
  • 1. Describe Power BI tools and workflow
  • 2. Describe Power BI reports and dashboards
  • 3. Describe Power BI
Topic 2: Describe core data concepts25-30%- Describe ways to represent data
  • 1. Describe features of semi-structured data
  • 2. Describe features of unstructured data
  • 3. Describe features of structured data
- Identify options for data storage
  • 1. Describe types of databases
  • 2. Describe common formats for data files
Topic 3: Identify considerations for relational data on Azure20-25%- Describe relational Azure data services
  • 1. Describe Azure SQL family of products
  • 2. Describe Azure Database for PostgreSQL
  • 3. Describe Azure Database for MySQL
  • 4. Describe SQL Server on Azure Virtual Machines
  • 5. Describe Azure SQL Managed Instance
  • 6. Describe Azure SQL Database
  • 7. Describe Azure Database for MariaDB
- Describe relational concepts
  • 1. Identify features of relational data
  • 2. Describe normalization
Topic 4: Describe considerations for working with non-relational data on Azure15-20%- Describe non-relational concepts
  • 1. Identify non-relational data
  • 2. Describe non-relational data offerings
- Describe non-relational Azure data services
  • 1. Describe Azure Cosmos DB
  • 2. Describe Azure Table storage
  • 3. Describe Azure File storage
  • 4. Describe Azure Blob storage

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Microsoft Azure Data Fundamentals Sample Questions (Q278-Q283):

NEW QUESTION # 278
Which statement is an example of Data Manipulation Language (DML)?

Answer: D

Explanation:
Data Manipulation Language (DML) affect the information stored in the database. Use these statements to insert, update, and change the rows in the database.
BULK INSERT
DELETE
INSERT
SELECT
UPDATE
MERGE
Reference:
https://docs.microsoft.com/en-us/sql/t-sql/statements/statements


NEW QUESTION # 279
Select the answer that correctly completes the sentence.

Answer:

Explanation:


NEW QUESTION # 280
Match the terms to the appropriate descriptions.
To answer, drag the appropriate term from the column on the left to its description on the right. Each term may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.

Answer:

Explanation:


NEW QUESTION # 281
To complete the sentence, select the appropriate option in the answer area.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-namespace


NEW QUESTION # 282
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation

Box 1: No
A pipeline is a logical grouping of activities that together perform a task.
Box 2: Yes
You can construct pipeline hierarchies with data factory.
Box 3: Yes
A pipeline is a logical grouping of activities that together perform a task.


NEW QUESTION # 283
......

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