Microsoft Azure Data Fundamentals Practice Test
DP-900 exam Format | Course Contents | Course Outline | exam Syllabus | exam Objectives
Test Detail:
The Microsoft DP-900 exam, also known as Microsoft Azure Data Fundamentals, is designed to assess the foundational knowledge and understanding of data concepts and core services on the Microsoft Azure platform. This certification is suitable for individuals who want to start a career in data-related roles or who need to work with data in their current roles.
Course Outline:
The course for Microsoft Azure Data Fundamentals covers various fundamental concepts and services related to data management and processing on the Azure platform. The following is a general outline of the key areas covered:
1. Introduction to Data Concepts:
- Understanding core data concepts, such as relational and non-relational data, structured and unstructured data, big data, and batch/streaming data.
- Exploring data processing and analytics techniques.
2. Core Azure Data Services:
- Overview of Azure data services, including Azure SQL Database, Azure Cosmos DB, Azure Data Lake Storage, and Azure Synapse Analytics.
- Introduction to Azure Data Factory and Azure Databricks.
3. Relational Data in Azure:
- Understanding Azure SQL Database and its features, such as deployment options, security, scalability, and performance.
- Exploring Azure Database for MySQL and Azure Database for PostgreSQL.
4. Non-Relational Data in Azure:
- Overview of Azure Cosmos DB and its features, including global distribution, scalability, and consistency models.
- Introduction to Azure Table Storage, Azure Blob Storage, and Azure Queue Storage.
5. Data Integration and Orchestration:
- Introduction to Azure Data Factory and its capabilities for data integration and orchestration.
- Overview of data ingestion and transformation using Azure Databricks.
6. Data Analytics and Visualization:
- Introduction to Azure Synapse Analytics (formerly SQL Data Warehouse) and its capabilities for data warehousing and analytics.
- Exploring Azure HDInsight and its support for big data processing.
- Overview of Power BI and its role in data visualization and reporting.
Exam Objectives:
The Microsoft DP-900 exam focuses on evaluating the candidate's knowledge and understanding of the following key areas:
1. Understand Core Data Concepts
2. Describe Core Azure Data Services
3. Describe how to work with Relational Data on Azure
4. Describe how to work with Non-Relational Data on Azure
5. Describe an Analytics workload on Azure
Exam Syllabus:
The exam syllabus for Microsoft Azure Data Fundamentals provides a detailed breakdown of the courses covered in each exam objective. It includes sub-topics, concepts, and specific tasks that candidates should be familiar with. The syllabus may cover the following areas:
- Data types and formats
- Azure SQL Database deployment models and security
- Azure Cosmos DB consistency models
- Azure Data Lake Storage and Azure Synapse Analytics concepts
- Azure Data Factory data integration and orchestration
- Azure Databricks for data ingestion and transformation
- Power BI data visualization and reporting
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Question: 45
HOTSPOT
To complete the sentence, select the appropriate option in the answer area.
Answer:
Question: 46
What Is a benefit of hosting a database on Azure SQL managed instance as compared to an Azure SQL database?
1. native support for cross-database queries and transactions
2. built-in high availability
3. system-Initiated automatic backups
4. support for encryption at rest
Answer: A Explanation:
Reference: https://docs.microsoft.com/en-us/azure/azure-sql/database/features-comparison
Question: 47
DRAG DROP
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:
Reference: https://demand-planning.com/2020/01/20/the-differences-between-descriptive-diagnostic-predictive- cognitive-analytics/
Question: 48
DRAG DROP
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:
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.
Reference: https://docs.microsoft.com/en-us/azure/storage/tables/table-storage-design-modeling
Question: 49
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.
1. complete control over backup and restore processes
2. access to the latest features
3. in-database machine learning services
4. reduced administrative effort for managing the server infrastructure
Answer: B, C 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
Question: 50
HOTSPOT
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:
Question: 51
HOTSPOT
To complete the sentence, select the appropriate option in the answer area.
Answer:
Explanation:
Generally speaking, data analytics comes in four types:
Descriptive, to answer the question: Whats happening? Diagnostic, to answer the question: Whys happening? Predictive, to answer the question: What will happen?
Prescriptive, to answer the question: What actions should we take?
Reference: https://azure.microsoft.com/en-us/blog/answering-whats-happening-whys-happening-and-what-will- happen-with-iot-analytics/
Question: 52
What should you use to build a Microsoft Power BI paginated report?
1. Power BI report Builder
2. Power BI Desktop
3. Charticulator
4. the Power BI service
Answer: A Explanation:
Power BI Report Builder is the standalone tool for authoring paginated reports for the Power BI service. https://docs.microsoft.com/en-us/power-bi/paginated-reports/paginated-reports-quickstart-aw Question: 53
HOTSPOT
To complete the sentence, select the appropriate option in the answer area.
Answer:
Explanation:
Reference: https://www.bmc.com/blogs/what-is-batch-processing-batch-processing-explained/
Question: 54
Your company needs to ensure that in Azure virtual machine can connect to Azure SQL databases without exposing the databases to the internet.
What should you use?
1. Azure DNS
2. Azure Application Gateway
3. Azure Private link
4. Azure Traffic Manager
Answer: C Explanation:
Azure Private Link enables you to access Azure PaaS Services (for example, Azure Storage and SQL Database) and Azure hosted customer-owned/partner services over a private endpoint in your virtual network.
Traffic between your virtual network and the service travels the Microsoft backbone network. Exposing your service to the public internet is no longer necessary
Reference: https://techcommunity.microsoft.com/t5/azure-database-support-blog/azure-sql-db-private-link-private- endpoint-connectivity/ba-p/1235573
Question: 55
You need to recommend a non-relational data store that is optimized for storing and retrieving files, videos, audio stream, and virtual disk images. The data store must store data, some metadata, and a unique ID for each file.
Which type of data store should you recommend?
1. document
2. key/value
3. object
4. columnar
Answer: C Explanation:
Object storage is optimized for storing and retrieving large binary objects (images, files, video and audio streams, large application data objects and documents, virtual machine disk images). Large data files are also popularly used in this model, for example, delimiter file (CSV), parquet, and ORC. Object stores can manage extremely large amounts of unstructured data.
Reference: https://docs.microsoft.com/en-us/azure/architecture/guide/technology-choices/data-store-overview
Question: 56
You have a SQL query that combines customer data and order data. The query includes calculated columns. You need to persist the SQL query so that other users can use the query.
What should you create?
1. a table
2. an index
3. scalar function
4. a view
Answer: D Explanation:
A view is a virtual table whose contents are defined by a query. A view acts as a filter on the underlying tables referenced in the view. The query that defines the view can be from one or more tables or from other views in the current or other databases.
Reference: https://docs.microsoft.com/en-us/sql/relational-databases/views/views
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