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Microsoft DP-900 Exam Syllabus Topics:

SectionWeightObjectives
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
Identify considerations for relational data on Azure20-25%- Describe relational concepts
  • 1. Identify features of relational data
  • 2. Describe normalization
- Describe relational Azure data services
  • 1. Describe Azure SQL family of products
  • 2. Describe SQL Server on Azure Virtual Machines
  • 3. Describe Azure SQL Managed Instance
  • 4. Describe Azure Database for MariaDB
  • 5. Describe Azure Database for MySQL
  • 6. Describe Azure Database for PostgreSQL
  • 7. Describe Azure SQL Database
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 Table storage
  • 2. Describe Azure File storage
  • 3. Describe Azure Cosmos DB
  • 4. Describe Azure Blob storage
Describe an analytics workload on Azure25-30%- Describe data visualization in Microsoft Power BI
  • 1. Describe Power BI
  • 2. Describe Power BI tools and workflow
  • 3. Describe Power BI reports and dashboards
- Describe analytics concepts
  • 1. Describe transactional workloads
  • 2. Describe data warehousing
  • 3. Describe ETL and ELT processes
  • 4. Describe analytical workloads
- Describe Azure data analytics services
  • 1. Describe Azure Data Factory
  • 2. Describe Azure Synapse Analytics
  • 3. Describe Microsoft Fabric
  • 4. Describe Azure Stream Analytics
  • 5. Describe Azure HDInsight
  • 6. Describe Azure Databricks

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Microsoft Azure Data Fundamentals Sample Questions (Q230-Q235):

NEW QUESTION # 230
Select the answer that correctly completes the sentence.

Answer:

Explanation:
See the answer in explanation below.
Answer below as:


NEW QUESTION # 231
Hotspot Question
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:
You implement ADLS as a Storage Account. Azure Data Lake Storage is a type of storage account in Azure, specifically optimized for big data analytics workloads.
When you create an Azure Data Lake Storage Gen2 account, you are essentially creating a specialized type of Storage Account with additional capabilities tailored for data lake scenarios.
When you create an ADLS Gen2 account, it is provisioned under the hood as a hierarchical namespace on top of Blob storage, which is part of Azure Storage. This means that you can use your Azure Data Lake Storage account to store and analyze large amounts of structured and unstructured data, leveraging features such as fine-grained access control, hierarchical namespaces, and integration with big data analytics services like Azure Databricks, Azure HDInsight, and Azure Synapse Analytics.


NEW QUESTION # 232
Select the answer that correctly completes the sentence.

Answer:

Explanation:

Explanation:
CSV
* CSV (Comma-separated values): This is a text file format that uses commas (,) as column delimiters and carriage returns (\r\n) as row delimiters. CSV files are widely used for exchanging data between different applications and platforms123.


NEW QUESTION # 233
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:

Reference:
https://docs.microsoft.com/en-us/azure/azure-sql/database/sql-database-paas-overview
https://azure.microsoft.com/en-us/blog/announcing-sql-atp-and-sql-vulnerability-assessment-general-availability/


NEW QUESTION # 234
Your company is designing a database that will contain session data for a website. The data will include notifications, personalization attributes, and products that are added to a shopping cart.
Which type of data store will provide the lowest latency to retrieve the data?

Answer: C

Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/analytical-data-stores


NEW QUESTION # 235
......

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