MCQs on Security and Compliance | Azure Data Factory MCQs Question
In this collection of Azure Data Factory MCQs questions, we will explore key topics related to security and compliance within Azure Data Factory. Learn how to secure data, manage access, and comply with industry standards like GDPR and HIPAA. Key concepts covered include data encryption, Azure Key Vault, Managed Identities, auditing, and logging, all of which are crucial for securing data and ensuring compliance in Azure environments.
MCQs
1. Data Encryption and Secure Transfer
- Which of the following is used for encrypting data in Azure Data Factory during transfer?
a) Azure Storage Encryption
b) Secure Transfer Protocol (STP)
c) Data encryption at rest
d) TLS/SSL encryption - Which of the following ensures encrypted data storage in Azure Data Factory?
a) Managed Identity
b) Data Lake Storage Gen1
c) Data encryption at rest
d) Azure SQL Database - What is the role of SSL/TLS in Azure Data Factory?
a) Encrypting data in Azure SQL
b) Encrypting data during transfer
c) Managing access control
d) Performing data transformation - In Azure Data Factory, which activity supports the encryption of data during movement?
a) Copy Activity
b) Delete Activity
c) Execute Pipeline Activity
d) Web Activity - How is data transferred securely between Azure Data Factory and external systems?
a) Using Azure Functions
b) Using HTTPS and Secure FTP
c) By using PowerShell scripts
d) By using Azure Blob Storage - What ensures data is encrypted in transit in Azure Data Factory pipelines?
a) Managed identities
b) Data encryption at rest
c) Secure transfer protocols (SSL/TLS)
d) Event triggers
2. Using Azure Key Vault for Secrets and Keys
- What is the primary purpose of using Azure Key Vault in Azure Data Factory?
a) Managing linked services
b) Storing and retrieving secrets and keys securely
c) Storing log data
d) Managing data encryption - How can Azure Data Factory access secrets stored in Azure Key Vault?
a) Through REST APIs
b) Using Managed Identity
c) By running SQL queries
d) Using an external Azure Storage account - Which of the following can be securely stored in Azure Key Vault?
a) User credentials
b) Azure Data Factory pipeline definitions
c) Data lake access keys
d) Virtual machine configurations - How does Azure Key Vault integrate with Azure Data Factory?
a) By encrypting pipeline execution data
b) By managing user permissions
c) By providing access to secrets and connection strings
d) By providing storage services - Which Azure service is commonly used in conjunction with Azure Key Vault to authenticate access?
a) Azure Active Directory (AAD)
b) Azure Storage Account
c) Azure Event Grid
d) Azure SQL Database - How can secrets from Azure Key Vault be used in Azure Data Factory pipelines?
a) Through SQL Server authentication
b) By setting up a Key Vault linked service
c) By configuring custom activities
d) By running Azure Logic Apps
3. Managing Access with Managed Identities
- What is the primary advantage of using Managed Identities in Azure Data Factory?
a) Automating pipeline scheduling
b) Allowing secure resource access without managing credentials
c) Optimizing data transformation tasks
d) Storing encrypted data - Which resource can be accessed by Azure Data Factory using Managed Identities?
a) External FTP servers
b) Azure Data Lake Storage
c) On-premises servers
d) Virtual networks - Managed Identity in Azure Data Factory is used to:
a) Encrypt data
b) Provide authentication without credentials
c) Schedule pipelines
d) Manage pipeline failures - To assign a Managed Identity to Azure Data Factory, which action should be performed?
a) Enable Managed Identity from the Azure portal
b) Set up a Key Vault access policy
c) Create a virtual network
d) Deploy a custom Docker container - Which of the following is NOT a use case for Managed Identities in Azure Data Factory?
a) Accessing Azure SQL Database
b) Accessing Azure Blob Storage
c) Managing user authentication in ADF
d) Authenticating with external services like AWS - Managed Identities help Azure Data Factory access other Azure services like:
a) Azure Functions
b) Azure Key Vault
c) Azure SQL Database
d) All of the above
4. Compliance with GDPR, HIPAA, and Other Standards
- Azure Data Factory can help comply with which of the following standards?
a) GDPR
b) HIPAA
c) SOC 2
d) All of the above - GDPR compliance in Azure Data Factory involves:
a) Storing data only in Europe
b) Ensuring data is encrypted at rest
c) Limiting data access to specific users
d) All of the above - How does Azure Data Factory help meet HIPAA compliance?
a) By using the Azure Data Lake Storage Gen2
b) By enabling audit logging and access controls
c) By storing data in specific geographic regions
d) By running pipelines in dedicated VMs - What is an important feature for ensuring compliance in Azure Data Factory?
a) Managing user roles and permissions
b) Disabling encryption
c) Storing all data in the cloud
d) Using the Azure Resource Manager - Which Azure service is used to ensure compliance with HIPAA when processing health-related data?
a) Azure Monitor
b) Azure Blob Storage
c) Azure Data Factory
d) Azure Key Vault - To ensure compliance with regulatory standards, what is an essential practice in Azure Data Factory?
a) Encrypting all data before processing
b) Configuring data retention policies
c) Using managed identities for access
d) All of the above
5. Auditing and Logging for Secure Data Operations
- Which service in Azure provides auditing and logging capabilities for Azure Data Factory?
a) Azure Monitor
b) Azure Active Directory
c) Azure Security Center
d) Azure Data Lake - What type of information can be found in Azure Data Factory logs?
a) Pipeline run history
b) Error messages
c) Activity execution details
d) All of the above - How can you monitor Azure Data Factory pipeline performance and security?
a) By using Azure Monitor metrics
b) By enabling logging in Azure Key Vault
c) By creating custom PowerShell scripts
d) By configuring Azure VPN - Which log can be used for auditing access and modifications in Azure Data Factory?
a) Activity log
b) Diagnostic log
c) SQL logs
d) All of the above - What is the purpose of using auditing in Azure Data Factory?
a) To track errors during pipeline execution
b) To track changes in pipeline design
c) To monitor data flow and access
d) All of the above - Where can you configure auditing and logging for Azure Data Factory?
a) In the Azure portal under Data Factory settings
b) In Azure Key Vault settings
c) In Azure Monitor
d) In Azure Blob Storage
Answers
| QNo | Answer (Option with the text) |
|---|---|
| 1 | d) TLS/SSL encryption |
| 2 | c) Data encryption at rest |
| 3 | b) Encrypting data during transfer |
| 4 | a) Copy Activity |
| 5 | b) Using HTTPS and Secure FTP |
| 6 | c) Secure transfer protocols (SSL/TLS) |
| 7 | b) Storing and retrieving secrets and keys securely |
| 8 | b) Using Managed Identity |
| 9 | c) Data lake access keys |
| 10 | c) By providing access to secrets and connection strings |
| 11 | a) Azure Active Directory (AAD) |
| 12 | b) By setting up a Key Vault linked service |
| 13 | b) Allowing secure resource access without managing credentials |
| 14 | b) Azure Data Lake Storage |
| 15 | b) Provide authentication without credentials |
| 16 | a) Enable Managed Identity from the Azure portal |
| 17 | d) Authenticating with external services like AWS |
| 18 | d) All of the above |
| 19 | d) All of the above |
| 20 | d) All of the above |
| 21 | b) By enabling audit logging and access controls |
| 22 | a) Managing user roles and permissions |
| 23 | c) Azure Data Factory |
| 24 | d) All of the above |
| 25 | a) Azure Monitor |
| 26 | d) All of the above |
| 27 | a) By using Azure Monitor metrics |
| 28 | a) Activity log |
| 29 | c) To monitor data flow and access |
| 30 | a) In the Azure portal under Data Factory settings |