Test DP-900 Simulator - Exam DP-900 Questions

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Microsoft DP-900 Exam Syllabus Topics:

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

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Microsoft Azure Data Fundamentals Sample Questions (Q292-Q297):

NEW QUESTION # 292
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: No
A pipeline is a logical grouping of activities that together perform a task.
Box 2: Yes
You can construct pipeline hierarchies with data factory.
Box 3: Yes
A pipeline is a logical grouping of activities that together perform a task.

NEW QUESTION # 293
Select the answer that correctly completes the sentence.

Answer:

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

NEW QUESTION # 294
Select the answer that correctly completes the sentence.

Answer:

Explanation:

NEW QUESTION # 295
Match the types of data to the appropriate Azure data services.
To answer, drag the appropriate data types from the column on the left to its service on the right. Each data type may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/azure/storage/tables/table-storage-design-modeling

NEW QUESTION # 296
Hotspot Question
To complete the sentence, select the appropriate option in the answer area.

Answer:

Explanation:

Explanation:
A clustered index defines the order in which data is physically stored in a table. Table data can be sorted in only way, therefore, there can be only one clustered index per table. In SQL Server, the primary key constraint automatically creates a clustered index on that particular column.
Reference:
https://www.sqlshack.com/what-is-the-difference-between-clustered-and-non-clustered-indexes- in-sql-server

NEW QUESTION # 297
......

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