DP-900 Test Braindumps: Microsoft Azure Data Fundamentals - DP-900 Pass-Sure Materials &

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| Section | Weight | Objectives |
|---|
| Topic 1: Describe core data concepts | 25–30% | - Describe data workloads
- 1. Analytical workloads
- 2. Transactional workloads
- 3. Batch and streaming data
- Describe types of data
- 1. File formats
- 2. Structured, semi-structured, and unstructured data
- Describe roles and responsibilities
- 1. Data engineer, data analyst, database administrator
|
| Topic 2: Identify considerations for relational data on Azure | 20–25% | - Describe relational data concepts
- 1. Query data with SQL
- 2. Relationships, keys, constraints
- 3. Normalization
- Describe Azure relational data services
- 1. Azure SQL Database
- 2. Azure SQL Managed Instance
- 3. SQL Server on Azure Virtual Machines
- 4. Open-source databases: PostgreSQL, MySQL, MariaDB
|
| Topic 3: Describe an analytics workload on Azure | 25–30% | - Describe Azure analytics services
- 1. Azure HDInsight
- 2. Microsoft Fabric
- 3. Azure Data Lake Storage Gen2
- 4. Azure Synapse Analytics
- 5. Azure Databricks
- Describe big data and analytics concepts
- 1. Data ingestion and processing
- 2. Modern data warehouse architecture
- 3. Data lakes and data warehouses
- Describe data visualization
- 1. Power BI capabilities
- 2. Data models and reports
- Describe real-time analytics
- 1. Azure Stream Analytics
- 2. Stream processing concepts
|
| Topic 4: Describe considerations for working with non-relational data on Azure | 15–20% | - Describe Azure storage services
- 1. Blob Storage
- 2. File Storage
- 3. Table Storage
- 4. Queue Storage
- Describe non-relational data concepts
- 1. Use cases for non-relational data
- 2. Characteristics of NoSQL data
- Describe Azure Cosmos DB
- 1. Capabilities and features
- 2. APIs and data models
- 3. Consistency levels and partitioning
|
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Microsoft Azure Data Fundamentals Sample Questions (Q197-Q202):
NEW QUESTION # 197
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:

Explanation:

Box 1: Image files
Azure Blob storage is suitable for image files.
Box 2:Key/value pairs
Azure CosmosDB table API is a key-value storage hosted in the cloud.
Box 3: Relationship between employees
One-to-many relationships between business domain objects occur frequently: for example, one department has many employees. There are several ways to implement one-to-many relationships in the Azure Table service.
NEW QUESTION # 198
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 stages. Each location may be used once, more than 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:

Explanation:

Box 1: The CRM system
Data is extracted from the CRM system.
Box 2: The data warehouse
Data is loaded to the data warehouse.
Box 3: A standalone data analysis tool
The data transformation that takes place usually involves various operations, such as filtering, sorting, aggregating, joining data, cleaning data, deduplicating, and validating data.

Reference:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/relational-data/etl
NEW QUESTION # 199
To complement the sentence, select the appropriate option in the answer area.

Answer:
Explanation:

NEW QUESTION # 200
You are building a Microsoft Power B1 report for a retail company. The data model for the report contains the following related Tables.

Vou need to create a visualization that shows the percentage of total sales by store type. The solution must minimize the number of fields and visuals used.
What should you do?
- A. Add a calculated column to the Stores table to calculate the percentage of total sales.
- B. Create a Key Performance Indicator (KPI) visual for each store type.
- C. Create a calculated table that summarizes sales by store type.
- D. Create a measure that calculates the percentage of total sales by store type.
Answer: D
NEW QUESTION # 201
To complete the sentence, select the appropriate option in the answer area.

Answer:
Explanation:


NEW QUESTION # 202
......
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