Data Engineering Program Quiz 5

Data Engineering Quiz 5

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1. What is the main advantage of using cloud data solutions over on-premises storage?

Lower initial setup cost and scalability

Higher dependency on hardware maintenance

Requires no internet connectivity for access

Full control over physical data centers

2. Which cloud storage service is most suitable for storing structured relational data?

Redis

Google BigQuery

Amazon S3

Apache Kafka

3. What is the key benefit of deploying data pipelines in the cloud?

Ability to scale processing resources dynamically

Complete elimination of data transformation processes

Avoidance of all security concerns

Reduction of network latency in all cases

4. In a CI/CD pipeline for data engineering, what is the purpose of the continuous integration (CI) stage?

Monitoring real-time data streaming

Storing historical data for long-term analysis

Automating code testing and validation

Ensuring data consistency in a data lake

5. Which of the following is a common use case for Apache Airflow?

Encrypting sensitive data for security

Running SQL queries in real-time

Automating, scheduling, and monitoring data workflows

Performing ETL processing entirely on-premises

6. What role does Infrastructure as Code (IaC) play in deploying cloud-based data solutions?

Automates infrastructure provisioning and management

Eliminates the need for cloud security policies

Increases manual control over deployments

Reduces the need for database indexing

7. In Apache Airflow, what is a DAG (Directed Acyclic Graph)?

A caching mechanism for frequently accessed data

A data structure used for organizing files in cloud storage

A workflow representation defining dependencies between tasks

A tool used for encrypting data pipelines

8. What is the primary function of cloud-based data warehouses like Snowflake and BigQuery?

Encrypting sensitive information for compliance

Streaming data in real-time without storage

Processing and analyzing large-scale structured data efficiently

Managing unstructured log files for machine learning

9. What is a key challenge when automating data pipelines in the cloud?

Storing all data locally for faster access

Avoiding the use of version control systems

Ensuring data pipeline workflows are executed manually

Managing resource allocation and cost optimization

10. In a cloud-based data engineering workflow, what is the role of Kubernetes?

Orchestrating containerized applications and workloads

Serving as a replacement for CI/CD pipelines

Managing schema evolution in relational databases

Providing direct SQL query optimization

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Data Engineering Program Quiz 5

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