Data Engineering Program Quiz 6

Data Engineering Quiz 6

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1. What is the main goal of data governance in an organization?

Restricting data sharing across all departments

Ensuring only IT teams have access to data

Eliminating the need for compliance with external regulations

Establishing policies for data security, privacy, and compliance

2. Which of the following is a key principle of GDPR (General Data Protection Regulation)?

Requiring data to always be stored in encrypted formats

Allowing companies to store user data indefinitely

Limiting data protection laws to European companies only

Granting individuals the right to access, modify, or delete their data

3. What is the primary difference between GDPR and CCPA?

CCPA grants consumers the right to opt out of data sales, while GDPR does not

CCPA focuses on securing only structured data, while GDPR covers all data types

GDPR applies only to financial institutions, while CCPA applies to tech companies

GDPR is a US regulation, whereas CCPA applies worldwide

4. Which of the following is an effective method for securing data in transit?

Using a single firewall for all network traffic

Encrypting data using TLS

Storing data in plaintext files

Disabling authentication for faster access

5. When securing data at rest, which technique provides the highest level of security?

Keeping data stored in multiple locations without encryption

Storing data in a non-relational database

Implementing a simple password-based access control

Encrypting data using AES-256

6. What is the purpose of logging in data systems?

To monitor, analyze, and troubleshoot system performance and failures

To store historical data in a data warehouse

To replace the need for real-time security monitoring

To speed up query execution in relational databases

7. What is a key challenge in implementing compliance frameworks like GDPR and CCPA?

Ensuring that compliance policies do not apply to cloud data

Preventing data anonymization for easier audits

Managing data access control across multiple users and regions

Avoiding all forms of data encryption

8. What is an example of a best practice for securing sensitive data in a cloud-based data system?

Allowing unrestricted access to API endpoints

Storing encryption keys in the same database as the data

Disabling logging to reduce storage costs

Enabling multi-factor authentication and access control policies

9. When debugging a failed data pipeline, which logging strategy is most effective?

Storing logs in a separate, centralized logging system

Only capturing logs for successful data processing events

Disabling logs to improve pipeline performance

Deleting error logs once the pipeline is restarted

10. Which of the following is an important aspect of monitoring data security?

Relying solely on manual monitoring without automation

Conducting periodic audits and vulnerability assessments

Storing all logs indefinitely without review

Allowing all users unrestricted access to security logs

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Data Engineering Program Quiz 6

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