MCQs on BigQuery Security and Governance | Google BigQuery

BigQuery Security and Governance are crucial to ensure data integrity, privacy, and compliance in cloud environments. This chapter covers essential topics such as access control, IAM roles and permissions, dataset and table-level access management, encryption, audit logs, monitoring, and best practices for data governance in BigQuery.

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Access Control

1. Which of the following is an essential aspect of BigQuery access control?
a) Limiting SQL queries
b) Restricting dataset access based on user roles
c) Allowing public access by default
d) Encrypting data by default

2. Which is a recommended way to grant BigQuery access to users?
a) Providing root access to all datasets
b) Granting access through Google Groups
c) Giving each user direct access to all tables
d) Using the default IAM policy

3. What is the primary purpose of BigQuery’s access control policies?
a) To track query performance
b) To prevent unauthorized data access
c) To organize datasets
d) To schedule automatic backups

4. Which IAM permission is required to run queries in BigQuery?
a) bigquery.jobs.create
b) bigquery.tables.get
c) bigquery.datasets.create
d) bigquery.dataViewer

5. Which of these is a valid method for managing BigQuery access control?
a) IP whitelisting
b) Service accounts only
c) IAM roles and policies
d) Data masking only

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IAM Roles and Permissions

6. What does an IAM role in BigQuery define?
a) The access permissions for a user or service
b) The number of queries a user can run
c) The data storage limits for users
d) The encryption methods applied to data

7. Which IAM role allows full administrative access to all BigQuery resources?
a) bigquery.dataViewer
b) bigquery.jobUser
c) bigquery.admin
d) bigquery.dataEditor

8. How can an IAM role be assigned to a user in BigQuery?
a) By attaching the role to a dataset
b) By adding the user to a Google Group with the role
c) By creating an encryption key
d) By granting a quota on the user’s queries

9. Which of the following BigQuery IAM roles has the least privileges?
a) bigquery.dataOwner
b) bigquery.jobUser
c) bigquery.dataEditor
d) bigquery.dataViewer

10. Which of the following actions can be controlled using IAM roles in BigQuery?
a) Running SQL queries
b) Creating a dataset
c) Modifying table schemas
d) All of the above

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Managing Dataset and Table-level Access

11. What is dataset-level access control in BigQuery used for?
a) Managing billing accounts
b) Controlling who can view or query data in a dataset
c) Granting access to the project only
d) Setting up encryption keys

12. How can you restrict access to a specific table in a dataset in BigQuery?
a) Using the dataset’s IAM policy only
b) By encrypting the table with a custom key
c) By setting table-level permissions
d) By changing the table name

13. What is the effect of granting the “bigquery.dataViewer” role at the dataset level?
a) The user can only view the dataset’s metadata
b) The user can perform administrative actions on the dataset
c) The user can view and query data in the dataset
d) The user can modify the schema of the dataset

14. Can you apply more than one IAM policy to a single dataset?
a) Yes, you can assign multiple policies for fine-grained control
b) No, only one IAM policy is allowed per dataset
c) Yes, but only for specific users
d) No, policies cannot be assigned to datasets

15. How can you limit access to BigQuery tables based on user roles?
a) By setting table-level IAM permissions
b) By configuring dataset-level encryption
c) By creating separate Google Cloud projects
d) By using the Google Cloud Console only

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Encryption and Data Security

16. Which encryption type is used by default in BigQuery for data at rest?
a) Customer-managed encryption keys (CMEK)
b) Google-managed encryption keys
c) Manual encryption
d) SSL/TLS encryption

17. What is the purpose of using Customer-managed Encryption Keys (CMEK) in BigQuery?
a) To restrict access to users based on geographic regions
b) To allow users to control the encryption of their data
c) To enable automatic data backups
d) To enforce query performance limits

18. Which of the following is NOT a valid encryption option in BigQuery?
a) Client-side encryption
b) Google-managed keys
c) Customer-managed keys
d) On-demand encryption

19. What type of encryption is used for data in transit between BigQuery and other services?
a) AES-256
b) SSL/TLS encryption
c) RSA encryption
d) DES encryption

20. To comply with data security standards, which feature should be used for sensitive data in BigQuery?
a) Data classification
b) Data masking
c) Query optimization
d) Data migration

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Audit Logs and Monitoring

21. What is the primary purpose of BigQuery Audit Logs?
a) To track query performance metrics
b) To record all changes and access to data and resources
c) To monitor resource usage
d) To track user login activity

22. Which tool can be used to view BigQuery Audit Logs?
a) Google Cloud Console
b) BigQuery web UI
c) Google Stackdriver
d) Google Analytics

23. Which of the following events is typically recorded in BigQuery Audit Logs?
a) Changes in IAM roles
b) Query execution details
c) Dataset schema modifications
d) All of the above

24. How can you monitor BigQuery usage and performance?
a) Using Google Cloud’s Monitoring and Logging tools
b) By manually tracking query completion times
c) By creating custom monitoring scripts
d) By storing logs in Cloud Storage

25. What is the role of Google Cloud’s Operations Suite in BigQuery monitoring?
a) It helps in analyzing dataset schema
b) It provides insights into BigQuery usage and performance
c) It manages user roles and permissions
d) It automatically adjusts resource allocation for queries

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Data Governance Best Practices

26. What is the main goal of data governance in BigQuery?
a) To ensure data security and compliance
b) To reduce query execution time
c) To optimize storage usage
d) To provide unlimited access to users

27. Which of the following is a key aspect of data governance?
a) Data lineage tracking
b) Query optimization
c) Data compression
d) Enabling public access

28. What should be done to ensure compliance with data governance policies?
a) Regularly audit access and usage
b) Allow unrestricted access to all datasets
c) Remove all IAM roles from users
d) Encrypt only a subset of data

29. How can organizations ensure proper data management and governance in BigQuery?
a) By setting IAM policies to restrict user access
b) By enabling query performance monitoring
c) By backing up data regularly
d) By using default encryption

30. Which of the following best describes a data stewardship role?
a) Monitoring query performance
b) Managing user roles and permissions
c) Ensuring data quality and compliance with policies
d) Creating and running data backups

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Answer Key

QNo	Answer
1	b) Restricting dataset access based on user roles
2	b) Granting access through Google Groups
3	b) To prevent unauthorized data access
4	a) bigquery.jobs.create
5	c) IAM roles and policies
6	a) The access permissions for a user or service
7	c) bigquery.admin
8	b) By adding the user to a Google Group with the role
9	b) bigquery.jobUser
10	d) All of the above
11	b) Controlling who can view or query data in a dataset
12	c) By setting table-level permissions
13	c) The user can view and query data in the dataset
14	a) Yes, you can assign multiple policies for fine-grained control
15	a) By setting table-level IAM permissions
16	b) Google-managed encryption keys
17	b) To allow users to control the encryption of their data
18	d) On-demand encryption
19	b) SSL/TLS encryption
20	b) Data masking
21	b) To record all changes and access to data and resources
22	a) Google Cloud Console
23	d) All of the above
24	a) Using Google Cloud’s Monitoring and Logging tools
25	b) It provides insights into BigQuery usage and performance
26	a) To ensure data security and compliance
27	a) Data lineage tracking
28	a) Regularly audit access and usage
29	a) By setting IAM policies to restrict user access
30	c) Ensuring data quality and compliance with policies