DP-900 Exam Actual Tests, DP-900 Valid Test Review

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Microsoft DP-900 Exam Syllabus Topics:

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

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Microsoft Azure Data Fundamentals Sample Questions (Q93-Q98):

NEW QUESTION # 93
Which statement is an example of Data Manipulation Language (DML)?

Answer: A


NEW QUESTION # 94
To complete the sentence, select the appropriate option in the answer area.

Answer:

Explanation:
Explanation
Text Description automatically generated with medium confidence


NEW QUESTION # 95
Select the answer that correctly completes the sentence.

Answer:

Explanation:


NEW QUESTION # 96
Select the answer that correctly completes the sentence.

Answer:

Explanation:


NEW QUESTION # 97
Your company if designing an application that will write a high volume of JSON data and will have an
application-defined schema.
Which type of data store should you use?

Answer: A

Explanation:
Explanation
A key/value store associates each data value with a unique key.
An application can store arbitrary data as a set of values. Any schema information must be provided by the
application. The key/value store simply retrieves or stores the value by key.


NEW QUESTION # 98
......

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