AWS Data Analytics & Machine Learning

Question 1

Which AWS service is commonly used for big data processing?

Accepted Answer

Amazon EMR

Answer

Amazon Elastic MapReduce (EMR) is a managed cluster platform that simplifies running big data frameworks like Apache Hadoop and Apache Spark on AWS. It allows you to process vast amounts of data quickly and cost-effectively. EMR is ideal for big data analytics, machine learning, and data transformations, scaling resources up or down as needed.

Question 2

What is the purpose of AWS Glue in data analytics?

Accepted Answer

Perform ETL operations

Answer

AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy to prepare and combine data for analytics and machine learning. It automatically discovers and catalogs metadata, generates Python or Scala code for ETL jobs, and runs them on a serverless Apache Spark environment. Glue simplifies the process of moving data between data stores and transforming it into a usable format.

Question 3

Which AWS service enables real-time data streaming?

Accepted Answer

Amazon Kinesis

Answer

Amazon Kinesis is a platform for streaming data on AWS, enabling you to process and analyze large streams of data in real time. It can ingest data from various sources, such as website clickstreams, IoT device data, and application logs. Kinesis allows for immediate processing, enabling real-time analytics, dashboards, and alerts.

Question 4

Which AWS service is designed for building and deploying machine learning models?

Accepted Answer

Amazon SageMaker

Answer

Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. It offers a comprehensive suite of tools, including notebooks, training jobs, and hosting endpoints, to streamline the entire ML workflow. SageMaker simplifies the process of bringing ML models into production.

Question 5

What is the function of Amazon Redshift?

Accepted Answer

Perform large-scale data warehousing

Answer

Amazon Redshift is a fully managed, petabyte-scale cloud data warehouse service. It is optimized for analytical workloads and can handle complex queries on large datasets, making it suitable for business intelligence and reporting. Redshift provides fast query performance by using columnar storage, data compression, and massively parallel processing (MPP).

AWS Practice Test

AWS Practice Test

AWS Data Analytics & Machine Learning