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

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Microsoft Azure Data Fundamentals Sample Questions (Q167-Q172):

NEW QUESTION # 167
Match the types of workloads the appropriate scenario.
To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once or not at all.
NOTE: Each correct match is worth one point.

Answer:

Explanation:


NEW QUESTION # 168
Match the types of analytics that can be used to answer the business questions.
To answer, drag the appropriate analytics type from the column on the left to its question on the right. Each analytics type may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.

Answer:

Explanation:

Explanation:
Box 1: Diagnostic
Diagnostic Analytics: At this stage you can begin to answer some of those why questions. Historical data can begin to be measured against other data to answer the question of why something happened in the past. This is the process of gathering and interpreting different data sets to identify anomalies, detect patters, and determine relationships.
Box 2: Prescriptive
Prescriptive analytics is a combination of data, mathematical models, and various business rules to infer actions to influence future desired outcomes.
Box 3: Cognitive
Reference:
https://demand-planning.com/2020/01/20/the-differences-between-d escriptive-diagnostic-predictive-cognitive-analytics/
https://azure.microsoft.com/en-us/blog/answering-whats-happening-whys-happening-and-what-will-happen-with-iot-analytics/


NEW QUESTION # 169
To complete the sentence, select the appropriate option in the answer area.

Answer:

Explanation:

Explanation:
Table Description automatically generated

A key mechanism that allows Azure Data Lake Storage Gen2 to provide file system performance at object storage scale and prices is the addition of a hierarchical namespace. This allows the collection of objects/files within an account to be organized into a hierarchy of directories and nested subdirectories in the same way that the file system on your computer is organized. With a hierarchical namespace enabled, a storage account becomes capable of providing the scalability and cost-effectiveness of object storage, with file system semantics that are familiar to analytics engines and frameworks.


NEW QUESTION # 170
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: Yes
Compute is separate from storage, which enables you to scale compute independently of the data in your system.
Box 2: Yes
You can use the Azure portal to pause and resume the dedicated SQL pool compute resources.
Pausing the data warehouse pauses compute. If your data warehouse was paused for the entire hour, you will not be charged compute during that hour.
Box 3: No
Storage is sold in 1 TB allocations. If you grow beyond 1 TB of storage, your storage account will automatically grow to 2 TBs.


NEW QUESTION # 171
Which type of database is Azure Database for PostgreSQL?

Answer: B

Explanation:
https://docs.microsoft.com/en-us/azure/postgresql/overview-postgres-choose-server-options


NEW QUESTION # 172
......

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