2.9 Introduction to Azure Synapse Analytics

Question 1

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What is Azure Synapse Analytics?

a) A relational database management system

b) A cloud-based data integration and analytics service

c) A machine learning platform

d) A virtual machine hosting service

Answer 1

b) A cloud-based data integration and analytics service

Question 2

What are the key features of Azure Synapse Analytics?

a) Data warehousing, big data analytics, and data integration

b) Virtual machine deployment, containerization, and orchestration

c) Identity and access management, security, and compliance

d) Content delivery network, load balancing, and traffic management

Answer 2

a) Data warehousing, big data analytics, and data integration

Question 3

Which language is commonly used for data exploration and analysis in Azure Synapse Analytics?

a) Python

b) Ruby

c) Java

d) SQL

Answer 3

d) SQL

Question 4

What is the purpose of Azure Synapse Studio?

a) Managing virtual machines in Azure

b) Developing and deploying machine learning models

c) Designing and orchestrating data pipelines

d) Monitoring and optimizing Azure Synapse Analytics workloads

Answer 4

d) Monitoring and optimizing Azure Synapse Analytics workloads

Question 5

How does Azure Synapse Analytics handle data security?

a) It provides encryption at rest and in transit

b) It offers built-in user authentication and authorization mechanisms

c) It supports data masking and row-level security

d) All of the above

Answer 5

d) All of the above

Question 6

What is the primary benefit of using Azure Synapse Analytics?

a) Scalability and flexibility to handle large volumes of data

b) Cost-effectiveness compared to on-premises solutions

c) Integration with other Azure services for end-to-end data workflows

d) All of the above

Answer 6

d) All of the above