Practice Test

True or False: Batch data ingestion is a process of importing data sets on a real-time basis.


Answer: False.

Explanation: Batch data ingestion is a method of importing data sets at scheduled intervals or after specific events, not in real-time.

Which of the following AWS services is not typically used for batch data ingestion?

  • a) AWS Glue
  • b) AWS Data Pipeline
  • c) AWS Kinesis
  • d) AWS Redshift

Answer: c) AWS Kinesis

Explanation: AWS Kinesis is mostly used for real-time data ingestion and streaming, whereas AWS Glue, AWS Data Pipeline and AWS Redshift are commonly used for batch data ingestion.

True or False: Event-driven ingestion occurs when data is ingested in response to a specific event.

Answer: True

Explanation: True, in event-driven ingestion, data is ingested into the system when a particular event triggers the ingestion process.

What does scheduled ingestion mean in the context of Batch data ingestion?

  • a) Importing data in real-time
  • b) Importing data every time an event occurs
  • c) Importing data at regular scheduled times
  • d) Importing data manually

Answer: c) Importing data at regular scheduled times

Explanation: Scheduled ingestion means importing data at pre-determined intervals or times, thus it doesn’t need manual intervention or specific events to begin.

What type of data is typically ingested using batch data ingestion protocols?

  • a) Time-series data
  • b) Real-time streaming data
  • c) IoT sensor data
  • d) Social media feeds in real-time

Answer: a) Time-series data

Explanation: Time-series data that doesn’t require real-time processing and analysis is typically suitable for batch ingestion methods.

True or False: Batch data ingestion processes are more resource-intensive and expensive than real-time data ingestion.

Answer: False

Explanation: Batch data ingestion can be more efficient and cost-effective than real-time data ingestion as they allow for the processing of large volumes of data at once, rather than continuously streaming and processing.

Which AWS service offers a way to automate the movement and transformation of data between different AWS services and on-premise data sources?

  • a) AWS Lambda
  • b) AWS Glue
  • c) AWS Batch
  • d) AWS DMS

Answer: b) AWS Glue

Explanation: AWS Glue is a managed Extract, Transform, Load (ETL) service that moves and reformats data between different storage and compute services.

True or False: In batch ingestion, data latency is higher compared to real-time ingestion.

Answer: True

Explanation: As batch ingestion processes data at regular intervals, it does have a higher latency compared to real-time ingestion which processes data as it arrives.

What is the major downside of batch data ingestion?

  • a) High latency
  • b) More compute resource utilization
  • c) High cost
  • d) All of above

Answer: a) High latency

Explanation: While batch data ingestion has its benefits, one major downside is its higher latency, as it handles data in batches rather than in real-time.

True or False: AWS Data Pipeline can be used for both real-time and batch data ingestion.

Answer: False

Explanation: AWS Data Pipeline is primarily used for moving, transforming and updating data between different AWS services and on-premise data sources on a scheduled or event-driven basis, leaning towards batch data ingestion. For real-time ingestion, AWS Kinesis is used.

Interview Questions

What is the role of a data engineer in batch data ingestion?

A data engineer is responsible for setting up, managing, and troubleshooting the systems that ingest, process, and store batch data.

What is the primary use of AWS Glue in terms of batch data ingestion?

AWS Glue provides a fully managed ETL (extract, transform, and load) service that makes it easy to move data between your data stores.

What is the proper AWS service for staging the data before ingestion?

Amazon S3 is typically used for staging the data before ingestion because it’s scalable, secure, and can handle large amounts of data.

What kind of data would you use batch data ingestion for?

Batch data ingestion is typically used for large amounts of structured and semi-structured data that does not need to be processed in real-time.

What is scheduled data ingestion?

Scheduled data ingestion is a method where data is ingested at predefined or scheduled times, such as once every 24 hours.

How is event-driven ingestion different from scheduled ingestion?

Event-driven ingestion ingests data as soon as a specific event occurs, while scheduled ingestion ingests data at predefined times.

What AWS service would you use for event-driven ingestion?

AWS Lambda is typically used for event-driven ingestion because it can trigger functions upon events such as the arrival of new data.

What kind of data storage works best with batch data ingestion in AWS?

Amazon Redshift, a fully managed, petabyte-scale data warehouse service, typically works best with batch data ingestion in AWS.

What is the role of AWS Kinesis in real-time and batch data ingestion?

AWS Kinesis allows real-time ingestion of data and then provides the option to batch that data for processing, making it a versatile choice for both real-time and batch data ingestion.

What does an ETL job in AWS Glue do?

An ETL job in AWS Glue prepares (extracts, transforms, and loads) the data for analytics by cleaning, normalizing, and moving the data from various sources into an analytics-friendly repository.

How does AWS Batch help in batch data ingestion?

AWS Batch helps in batch data ingestion by efficiently queuing, scheduling, and executing batch computing workloads across the full range of AWS compute services and features.

How do AWS IAM roles help in data ingestion?

AWS IAM roles help in data ingestion by managing permissions, ensuring only authorized services are able to access the data.

How does data partitioning in Amazon S3 support batch data ingestion?

Data partitioning in Amazon S3 supports batch data ingestion by organizing data in separate partitions, improving query performance and reducing costs by scanning relevant partitions only.

What part does AWS Step Functions play in batch data ingestion?

AWS Step Functions coordinates the components of batch data ingestion by orchestrating multiple Lambda functions into a defined workflow.

What is the role of Amazon Data Pipeline in batch data ingestion?

Amazon Data Pipeline facilitates the process of batch data ingestion by moving and transforming data across different AWS services and on-premise data sources.

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