Q1. What is AWS Glue DataBrew Profile Jobs?
Ans: AWS Glue DataBrew Profile Jobs automate data profiling tasks in AWS Glue DataBrew, analyzing data to identify patterns, outliers, and statistical summaries. They provide insights into data quality and characteristics for effective data preparation and analysis.
Q2. What is AWS Glue?
Ans: AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy to prepare and transform data for analytics. It provides a serverless environment for discovering, cataloging, and transforming data across various data sources.
Q3. What is Amazon S3?
Ans: Amazon S3 (Simple Storage Service) is an object storage service that offers industry-leading scalability, durability, and security for storing and retrieving any amount of data. It is commonly used as a data lake for big data and analytics workloads.
Q4. What is Amazon Redshift?
Ans: Amazon Redshift is a fully managed data warehousing service designed for analyzing large datasets. It provides high-performance, petabyte-scale data storage, and allows for complex queries and data aggregation.
Q5. What is AWS Athena?
Ans: AWS Athena is an interactive query service that allows you to analyze data stored in Amazon S3 using standard SQL. It enables you to run ad-hoc queries without the need for infrastructure provisioning or data loading.
Q6. What is AWS Glue Data Catalog?
Ans: AWS Glue Data Catalog is a metadata repository that stores metadata information about data sources, transformations, and targets. It provides a unified view of your data, making it easier to discover, manage, and query data across various AWS services.
Q7. What is AWS EMR?
Ans: AWS EMR (Elastic MapReduce) is a fully managed big data processing service. It allows you to process large amounts of data using popular frameworks like Apache Spark, Apache Hadoop, and Presto.
Q8. What is AWS Kinesis?
Ans: AWS Kinesis is a platform for real-time streaming and analytics. It enables you to collect, process, and analyze streaming data in real-time, making it suitable for applications such as IoT, clickstream analysis, and log processing.
Q9. What is AWS Data Pipeline?
Ans: AWS Data Pipeline is a web service that enables you to automate the movement and transformation of data between different AWS services and on-premises data sources. It provides a visual interface for defining data workflows and scheduling data activities.
Q10. What is AWS Glue ETL?
Ans: AWS Glue ETL is a serverless extract, transform, and load (ETL) service provided by AWS Glue. It allows you to create and run ETL jobs to transform and move data between various data sources.
Q11. What is AWS Quicksight?
Ans: AWS Quicksight is a cloud-based business intelligence (BI) service that enables you to create interactive visualizations, reports, and dashboards from multiple data sources. It provides easy-to-use tools for data exploration and analysis.
Q12. What is AWS Data Lake?
Ans: AWS Data Lake is a centralized repository that allows you to store and analyze vast amounts of structured and unstructured data at any scale. It provides a foundation for big data analytics and machine learning.
Q13. What is AWS Glue Crawlers?
Ans: AWS Glue Crawlers are automated processes that scan and discover the schema and metadata of your data sources. They analyze the data and populate the AWS Glue Data Catalog with metadata information for easier data processing and querying.
Q14. What is AWS Data Migration Service (DMS)?
Ans: AWS Data Migration Service is a fully managed service that enables you to migrate databases and data warehouses from on-premises or other cloud platforms to AWS. It supports both homogenous and heterogeneous migrations.
Q15. What is AWS DataSync?
Ans: AWS DataSync is a data transfer service that makes it easy to move large amounts of data between on-premises storage and AWS. It offers high-speed, secure, and reliable data transfer using optimized network protocols.
Q16. What is AWS Glue ETL Spark Jobs?
Ans: AWS Glue ETL Spark Jobs are serverless Apache Spark jobs provided by AWS Glue. They allow you to run distributed data processing tasks on large datasets using the power of Apache Spark and AWS infrastructure.
Q17. What is AWS Aurora?
Ans: AWS Aurora is a relational database service that offers the performance and availability of commercial-grade databases at a lower cost. It is fully managed, highly scalable, and compatible with MySQL and PostgreSQL.
Q18. What is AWS CloudSearch?
Ans: AWS CloudSearch is a fully managed search service that enables you to build, scale, and manage search functionality for your applications. It supports full-text search and offers features like faceted search and search relevance tuning.
Q19. What is AWS Lake Formation?
Ans: AWS Lake Formation is a service that makes it easy to set up, secure, and manage a data lake on AWS. It provides tools for ingesting, cataloging, securing, and sharing data across different users and applications.
Q20. What is AWS Glue DataBrew?
Ans: AWS Glue DataBrew is a visual data preparation service that makes it easy to clean and normalize data for analytics and machine learning. It provides a no-code interface for data transformation and cleansing tasks.
Q21. What is AWS Glue Studio?
Ans: AWS Glue Studio is a visual interface that allows you to create and run AWS Glue ETL (extract, transform, load) jobs without writing code. It simplifies the process of building data pipelines for data transformation and preparation.
Q22. What is AWS Neptune?
Ans: AWS Neptune is a fully managed graph database service that allows you to build and run applications that work with highly connected datasets. It is optimized for storing and querying graph data at scale.
Q23. What is AWS DataBrew?
Ans: AWS DataBrew is a visual data preparation service that enables you to clean and normalize data for analytics and machine learning. It provides a no-code interface for data transformation, profiling, and quality checks.
Q24. What is AWS Glue Elastic Views?
Ans: AWS Glue Elastic Views is a serverless service that enables you to create materialized views across multiple data sources. It allows you to query and combine data from different sources as if they were in a single database.
Q25. What is AWS Glue Schema Registry?
Ans: AWS Glue Schema Registry is a service that allows you to manage and govern schema versions for your data. It provides a central repository for storing, discovering, and managing schemas across different applications and systems.
Q26. What is Amazon Athena Federated Query?
Ans: Amazon Athena Federated Query is a feature that allows you to query data across multiple data sources, including Amazon S3, Amazon RDS, and Amazon Redshift. It provides a unified SQL interface for querying diverse data sources.
Q27. What is Amazon QuickSight ML Insights?
Ans: Amazon QuickSight ML Insights is a feature that integrates machine learning capabilities into Amazon QuickSight. It allows you to analyze data and generate insights using built-in or custom machine learning models.
Q28. What is AWS Glue DataBrew Profile Jobs?
Ans: AWS Glue DataBrew Profile Jobs are jobs that automate data profiling tasks in AWS Glue DataBrew. They analyze data to identify patterns, outliers, and statistical summaries to gain insights into the data quality and characteristics.
Q29. What is AWS Glue ETL Jobs?
Ans: AWS Glue ETL Jobs are jobs that run data transformation tasks in AWS Glue. They extract data from various sources, transform it based on predefined rules, and load it into a target data store or data warehouse.
Q30. What is Amazon Managed Streaming for Apache Kafka (MSK)?
Ans: Amazon MSK is a fully managed Apache Kafka service that makes it easy to build and run applications that use Apache Kafka for real-time streaming and event-driven architectures. It provides a scalable and highly available Kafka cluster.
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