AWS Academy Data Engineering Practice Test

These questions are part of the practice quiz. Start practicing

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