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Microsoft DP-900 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Identify considerations for relational data on Azure	20–25%	- Describe Azure relational data services 1. SQL Server on Azure Virtual Machines 2. Azure SQL Database 3. Open-source databases: PostgreSQL, MySQL, MariaDB 4. Azure SQL Managed Instance - Describe relational data concepts 1. Relationships, keys, constraints 2. Query data with SQL 3. Normalization
Topic 2: Describe an analytics workload on Azure	25–30%	- Describe data visualization 1. Power BI capabilities 2. Data models and reports - Describe big data and analytics concepts 1. Data lakes and data warehouses 2. Modern data warehouse architecture 3. Data ingestion and processing - Describe real-time analytics 1. Stream processing concepts 2. Azure Stream Analytics - Describe Azure analytics services 1. Azure Synapse Analytics 2. Azure HDInsight 3. Azure Data Lake Storage Gen2 4. Azure Databricks 5. Microsoft Fabric
Topic 3: Describe core data concepts	25–30%	- Describe roles and responsibilities 1. Data engineer, data analyst, database administrator - Describe types of data 1. File formats 2. Structured, semi-structured, and unstructured data - Describe data workloads 1. Transactional workloads 2. Batch and streaming data 3. Analytical workloads
Topic 4: Describe considerations for working with non-relational data on Azure	15–20%	- Describe Azure Cosmos DB 1. Consistency levels and partitioning 2. APIs and data models 3. Capabilities and features - Describe non-relational data concepts 1. Characteristics of NoSQL data 2. Use cases for non-relational data - Describe Azure storage services 1. Queue Storage 2. Blob Storage 3. File Storage 4. Table Storage

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Microsoft Azure Data Fundamentals Sample Questions (Q33-Q38):

NEW QUESTION # 33
To complete the sentence, select the appropriate option in the answer area.

Answer:

Explanation:

Explanation
Paginated Reports
https://powerbi.microsoft.com/en-us/blog/announcing-paginated-reports-in-power-bi-general-availability/

NEW QUESTION # 34
What are two benefits of platform as a service (PaaS) relational database offerings in Azure, such as Azure SQL Database? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.

A. in-database machine learning services
B. access to the latest features
C. complete control over backup and restore processes
D. reduced administrative effort for managing the server infrastructure

Answer: B,D

Explanation:
Azure SQL Database is a fully managed platform as a service (PaaS) database engine that handles most of the database management functions such as upgrading, patching, backups, and monitoring without user involvement.
SQL Database delivers predictable performance with multiple resource types, service tiers, and compute sizes. It provides dynamic scalability with no downtime, built-in intelligent optimization, global scalability and availability, and advanced security options. These capabilities allow you to focus on rapid app development and accelerating your time-to-market, rather than on managing virtual machines and infrastructure.
Reference:
https://docs.microsoft.com/en-us/azure/azure-sql/database/sql-database-paas-overview

NEW QUESTION # 35
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 # 36
You have a dedicated SQL pool in Azure Synapse Analytics that is only used actively every night for eight hours.
You need to minimize the cost of the dedicated SQL pool as much as possible during idle times.
The solution must ensure that the data remains intact.
What should you do on the dedicated SQL pool?

A. Create a user-defined restore point.
B. Scale down the data warehouse units (DWUs).
C. Delete the pool
D. Pause the pool.

Answer: D

Explanation:
Dedicated SQL pool
You can control costs for a dedicated SQL pool by pausing the resource when it is not is use. For example, if you won't be using the database during the night and on weekends, you can pause it during those times, and resume it during the day. For more information, see Pause and resume compute in dedicated SQL pool via the Azure portal.
https://learn.microsoft.com/en-us/azure/synapse-analytics/plan-manage-costs

NEW QUESTION # 37
Your company plans to load data from a customer relationship management (CRM) system to a data warehouse by using an extract load, and transform (ELT) process.
Where does data processing occur for each stage of the ELT process? To answer, drag the appropriate locations to the correct. Each location may be used once, or not at all, You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/relational-data/etl

NEW QUESTION # 38
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