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Microsoft DP-900 Exam Syllabus Topics:

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

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Microsoft Azure Data Fundamentals Sample Questions (Q126-Q131):

NEW QUESTION # 126
You are reviewing the data model shown in the following exhibit.

Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point

Answer:

Explanation:


Reference:
https://en.wikipedia.org/wiki/Snowflake_schema
https://azure.microsoft.com/en-us/blog/data-models-within-azure-analysis-services-and-power-bi/


NEW QUESTION # 127
Select the answer that correctly completes the sentence.

Answer:

Explanation:

Explanation:


NEW QUESTION # 128
To complete the sentence, select the appropriate option in the answer area.

Answer:

Explanation:


NEW QUESTION # 129
To complete the sentence, select the appropriate option in the answer area.

Answer:

Explanation:

Explanation

Generally speaking, data analytics comes in four types (Figure 1):
Descriptive, to answer the question: What's happening?
Diagnostic, to answer the question: Why's happening?
Predictive, to answer the question: What will happen?
Prescriptive, to answer the question: What actions should we take?


NEW QUESTION # 130
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:


NEW QUESTION # 131
......

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