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

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Microsoft Azure Data Fundamentals Sample Questions (Q271-Q276):

NEW QUESTION # 271
Select the answer that correctly completes the sentence.

Answer:

Explanation:


NEW QUESTION # 272
A bank has a system that manages financial transactions.
When transferring money between accounts, the system must never retrieve a value for the source account that reflects the balance before the transfer and a value for the destination account that reflects the balance after the transfer.
Of which ACID semantic is this an example?

Answer: D

Explanation:
Isolation. See course material:
o concurrent transactions cannot interfere with one another, and must result in a consistent database state.
o For example, while the transaction to transfer funds from one account to another is in-process, another transaction that checks the balance of these accounts must return consistent results - the balance-checking transaction can't retrieve a value for one account that reflects the balance before the transfer, and a value for the other account that reflects the balance after the transfer.


NEW QUESTION # 273
DRAG DROP
Match the Azure Cosmos DB APIs to the appropriate data structures.
To answer, drag the appropriate API from the column on the left to its data structure on the right. Each API may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
Select and Place:

Answer:

Explanation:

Section: Describe how to work with non-relational data on Azure
Explanation/Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/faq


NEW QUESTION # 274
For each of the following statements, select yes if he statement is true, Otherwise select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 275
Which statement is an example of Data Manipulation Language (DML)?

Answer: B

Explanation:
Data Manipulation Language (DML) statements:
* DELETE
* INSERT
* UPDATE


NEW QUESTION # 276
......

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