AWS Academy Data Engineering Practice Test

These questions are part of the practice quiz. Start practicing

• What type of database is Amazon DynamoDB?
• What advantage does AWS Glue provide to data engineers?
• Which service would a data engineer use to encrypt data in their data lake?
• Which service is best suited for real-time big data processing?
• Which of the following describes a use case for Amazon VPC?
• What best characterizes formatted data compared to unstructured data?
• Which database would be BEST suited for a high-traffic computer game's leaderboard?
• How does AWS handle data backup and recovery?
• What is the primary function of Amazon CloudWatch?
• Which AWS services can be used to monitor and troubleshoot an AWS Glue job?
• What do you call the pieces into which HDFS splits large files?
• What is the main use case for AWS IoT Core?
• What does the ETL process stand for in data engineering?
• What does the AWS Glue Data Catalog primarily do?
• Which AWS service is ideal for performing ETL operations on data?
• What security methods are available for protecting data in AWS?
• What function does AWS Lambda serve in data engineering?
• What does Amazon Redshift specifically target in data management?
• Is it true that applications written in any programming language can run on Hadoop MapReduce?
• What does the AWS Direct Connect service provide?
• What is a primary characteristic of Amazon DynamoDB?
• What is one of the main advantages of using partitioning in database management?
• Which AWS service supports machine learning models for real-time inference?
• Which programming framework best supports machine learning projects that involve iterative, multi-stage ML algorithms?
• What is the role of Amazon QuickSight in data engineering?
• Which AWS service provides the capability for interactive queries over large datasets?
• A system administrator has launched Amazon EC2 instances and would like to create alarms that send notifications when CPU utilization thresholds are breached. Which AWS service would best meet their needs?
• What is Amazon Athena used for?
• How does partitioning benefit large datasets?
• What does the term 'data lake' refer to in AWS?
• Which service can assist in scaling big data processing tasks efficiently?
• Which types of cloud storage options should be considered? (Select three)
• What is a primary feature of Amazon DynamoDB Streams?
• Why is unstructured data considered more flexible?
• Which AWS service enables serverless computing?
• What is true regarding horizontal and vertical scaling in a cloud environment?
• What percentage of a machine learning (ML) dataset should be allocated to training?
• What is the purpose of partitioning in large datasets?
• Which of these data types is typically most difficult to query?
• How does Amazon EMR optimize big data processing?
• Which AWS service enables you to manage and analyze IoT data?
• What is HDFS?
• Which statement best describes continuous delivery?
• Which option describes a best practice when cleaning data?
• What is the process of connecting to a source, querying to create a dataset, and making it available for analytics called?
• What is Amazon Managed Streaming for Kafka (MSK) used for?
• Which aspects comprise the three-pronged strategy? (Select THREE.)
• Which of the following best describes Amazon DynamoDB?
• What is the main benefit of using Amazon Lake Formation?
• What is the purpose of AWS CloudFormation in data engineering?
• Which job role is primarily responsible for ensuring quality and efficiency in data processing pipelines?
• What is Amazon S3 primarily used for?
• Which term refers to the process of converting raw data into a structured format?
• What is a primary benefit of using HDFS in data engineering?
• Data wrangling often involves which of the following activities?
• What does feature extraction and selection reduce in machine learning?
• What AWS service should a company consider for sharing block storage data across multiple EC2 instances?
• What AWS tool helps visualize and manage cloud resources?
• Which option is NOT a flow state in AWS Step Functions?
• What is the benefit of using AWS Glue in data engineering?
• Which statement is correct about the nature of semistructured data?
• What kind of file system does HDFS relate to?
• What is a key benefit of using AWS Aurora?
• What AWS service can help with schema evolution?
• What integration service with Amazon Athena tracks data versions and allows for inserting, updating, and deleting data in Amazon S3?
• For predictive analytics, which AWS service is primarily used?
• What term best describes customer comments saved as nested JSON documents in Amazon DocumentDB?
• What is the primary purpose of AWS Snowball?
• What is the main purpose of Amazon Redshift?
• How can data be securely transferred to Amazon S3?
• What is an advantage of using AWS Lambda in data engineering?
• Which of the following services is designed specifically for real-time data processing?
• What is Amazon DynamoDB Streams primarily used for?
• In the context of cloud computing, what does vertical scaling typically refer to?
• Which is considered a critical step in the data processing pipeline?
• Which statement about data types is correct?
• What advantage does data partitioning provide in AWS data services?
• Which aspect of HDFS is crucial for large-scale data processing?
• What storage class is designed for infrequently accessed data in S3?
• Which options are part of the five Vs of big data? (Select TWO.)
• What is the correct order of tasks in data structuring?
• Which AWS service allows a data engineer to recreate their infrastructure securely in another AWS Region?
• Which AWS service is used for processing real-time streaming data?
• What is a reason for using DynamoDB over RDS?
• What is the main difference between continuous delivery and continuous deployment?
• What is a primary function of a data analyst in an organization?
• In Hadoop, HDFS splits huge files into small chunks that are called?
• Which stages are part of every modern data pipeline?
• Which AWS service can be embedded in an integrated development environment (IDE) to help generate code?
• What does YARN stand for in the context of data engineering?
• Which of the following services is designed for processing streaming data?
• What feature allows Amazon Athena to analyze large datasets directly in S3?
• Which option is NOT a component of Apache Spark?
• In the context of data integration, what does ETL stand for?
• Which service allows for real-time data streaming and analytics?
• What is the primary function of Amazon S3 Select?
• What service provides the ability to run SQL queries on multiple Amazon S3 files?
• What format is commonly used for data exchange in AWS services?
• Which AWS service allows you to transform and prepare your data for analytics?
• What does Amazon VPC enhance in terms of AWS resources?
• What role do tags play in AWS resource management?
• Which service is most commonly associated with data warehousing?
• What is the purpose of AWS IAM in the context of data engineering?
• What is the purpose of data sharding in databases?
• Which AWS service is ideal for real-time data processing?
• What does a high-performance database like AWS Aurora aim to achieve?
• In which scenario would you prefer to use Amazon Redshift?
• How does machine learning (ML) primarily differ from traditional data analysis?
• Which scenario describes a challenge to velocity?
• What function does AWS Glue Crawlers serve?
• For efficient data analysis, what is often a priority in data preparation?
• Which technology is NOT considered part of Hadoop Core?
• Which AWS service is designed to ingest data from file systems?
• What best describes data wrangling?
• Which tool can be used for transforming data before loading it into Amazon Redshift?
• What is the primary function of Amazon Redshift?
• How is a data scientist involved in processing data through a pipeline?
• How do you secure data at rest in AWS S3?
• In AWS cloud services, what type of analytics does Amazon QuickSight primarily focus on?
• Which statement is true about AWS Aurora?
• Which Amazon service provides a managed environment for running Apache Hadoop?
• What is the difference between Amazon S3 Glacier and S3 Standard storage?
• What is the primary purpose of Amazon Redshift?
• Which service can automatically scale resources in response to demand?
• Which tool helps in data transformation jobs in AWS?
• What is the main advantage of using Apache Spark for machine learning?
• Which AWS service should a company implement to monitor API access, in addition to Amazon CloudWatch and VPC logging?
• Which AWS service is ideal for executing ad-hoc queries against large datasets stored in S3?
• What is the default replication factor of a block on HDFS?
• A data engineer wants to add Amazon EC2 instances to support increased web traffic during a promotion. Which service would be the MOST cost-effective solution?
• What is the primary purpose of data wrangling?
• How does AWS provide data ingestion from edge devices?
• What are the two types of data processing in AWS?
• What type of analysis is Apache Spark particularly well-suited for?
• Which AWS service is best suited for long-term data storage at a lower cost?
• Which AWS service provides a fully managed message queuing service?
• What type of service does AWS Glue offer for data processing?
• Which option is NOT a design principle for data security?
• What aspect of data does Amazon VPC protect in AWS environments?
• Which AWS service is BEST suited for building a recommendation engine?
• What service allows you to create and manage data pipelines in AWS?
• Which are types of Amazon EMR nodes? (Select THREE)
• Which databases is AWS Aurora compatible with?
• Which role would you associate with exploring and analyzing player data in a video game company?
• What step is NOT part of framing a typical machine learning (ML) problem?
• Which service is used for real-time analytics on streaming data?
• Which option is NOT a pillar of the AWS Well-Architected Framework?
• What feature of AWS Lambda allows it to be truly serverless?
• What is NOT a valid data preprocessing strategy?
• How can machine learning models be deployed in AWS?
• A data engineer needs to batch index large amounts of textual data on an article website and provide deep keyphrase searching to end users through an app. Which AWS service could help the engineer accomplish this?
• What is Amazon Kinesis Data Firehose primarily used for?
• Which data type is characterized by a fixed schema and organization?
• An air conditioning company has invested in a product that monitors airflow through hospital ducts. Which AWS service would be well-suited to consume the streaming Internet of Things (IoT) data?
• Which AWS service can assist with labeling a dataset?
• A data engineer building a sentiment analysis pipeline could use which AWS services?
• What are the MOST common use cases for Amazon OpenSearch Service?
• Which data type best describes JSON and XML files?
• What is a key feature of AWS Step Functions?
• Which service is primarily used for object storage in AWS?
• Which tool or service is NOT used for handling near real-time data?
• What is the definition of MapReduce?
• What is the advantage of using AWS Data Lake versus traditional databases?
• Which of the following is an example of unstructured data?
• What is Amazon OpenSearch Service often used for?
• Which service is an example of a serverless database offered by AWS?
• In the context of AWS, what does OLAP stand for?
• In the context of databases, what does partitioning refer to?
• What does ELT stand for?
• Which statement is NOT correct regarding Apache Hadoop?
• How does Amazon RDS differ from DynamoDB?
• Which AWS service is primarily utilized for data synchronization across AWS regions?
• Which feature of Amazon EMR is used to process big data?
• What is the primary function of Amazon S3 in data engineering workflows?
• Which AWS service is known for data warehousing?
• Which AWS service is best suited for ingesting data from a software as a service (SaaS) application?
• What storage option should a company use for high-quality, centralized data?
• What is the role of AWS Data Exchange?
• Which tool is described as an open-source, in-memory structured query language (SQL) query engine?
• Which AWS service provides cloud-scale business intelligence to deliver insights that are easy to understand?
• Which types of processing does the processing layer of a modern data architecture support?
• Which term is NOT a step in the data wrangling process?
• What feature of AWS Lambda allows you to execute code in response to events?