Which tasks are the responsibility of AWS according to the AWS shared responsibility model? (Select TWO.)
Correct Answer: C,E
The tasks that are the responsibility of AWS according to the AWS shared responsibility model are securing the access of physical AWS facilities and performing infrastructure patching and maintenance. The AWS shared responsibility model defines the division of responsibilities between AWS and the customer for security and compliance. AWS is responsible for the security of the cloud, which includes the physical security of the hardware, software, networking, and facilities that run the AWS services. AWS is also responsible for the maintenance and patching of the infrastructure that supports the AWS services. The customer is responsible for the security in the cloud, which includes the configuration and management of the AWS resources and applications that they use. Configuring AWS Identity and Access Management (IAM), configuring security groups on Amazon EC2 instances, and patching applications that run on Amazon EC2 instances are tasks that are the responsibility of the customer, not AWS.
Question 42
A company has 5 TB of data stored in Amazon S3. The company plans to occasionally run queries on the data for analysis. Which AWS service should the company use to run these queries in the MOST cost-effective manner?
Correct Answer: B
Amazon Athena is a serverless, interactive analytics service that allows users to run SQL queries on data stored in Amazon S3. It is ideal for occasional queries on large datasets, as it does not require any server provisioning, configuration, or management. Users only pay for the queries they run, based on the amount of data scanned. Amazon Athena supports various data formats, such as CSV, JSON, Parquet, ORC, and Avro, and integrates with AWS Glue Data Catalog to create and manage schemas. Amazon Athena also supports querying data from other sources, such as on-premises or other cloud systems, using data connectors1. Amazon Redshift is a fully managed data warehouse service that allows users to run complex analytical queries on petabyte-scale data. However, it requires users to provision and maintain clusters of nodes, and pay for the storage and compute capacity they use. Amazon Redshift is more suitable for frequent and consistent queries on structured or semi-structured data2. Amazon Kinesis is a platform for streaming data on AWS, enabling users to collect, process, and analyze real-time data. It is not designed for querying data stored in Amazon S3. Amazon Kinesis consists of four services: Kinesis Data Streams, Kinesis Data Firehose, Kinesis Data Analytics, and Kinesis Video Streams3. Amazon RDS is a relational database service that provides six database engines: Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle Database, and SQL Server. It simplifies database administration tasks such as backup, patching, scaling, and replication. However, it is not optimized for querying data stored in Amazon S3. Amazon RDS is more suitable for transactional workloads that require high performance and availability4. Reference: Interactive SQL - Serverless Query Service - Amazon Athena - AWS [Amazon Redshift - Data Warehouse Solution - AWS] [Amazon Kinesis - Streaming Data Platform - AWS] [Amazon Relational Database Service (RDS) - AWS]
Question 43
A company needs to search for text in documents that are stored in Amazon S3. Which AWS service will meet these requirements?
Correct Answer: A
Amazon Kendra is a highly accurate and easy to use intelligent search service powered by machine learning. It enables users to easily find the content they are looking for, even when it is scattered across multiple locations and content repositories within their organization. Amazon Kendra supports natural language queries, and can search for text in documents stored in Amazon S3, as well as other sources such as SharePoint, OneDrive, Salesforce, ServiceNow, and more1. Amazon Rekognition is a computer vision service that makes it easy to add image and video analysis to applications. It can detect objects, faces, text, scenes, activities, and emotions in images and videos. However, it is not designed for searching for text in documents stored in Amazon S32. Amazon Polly is a text-to-speech service that turns text into lifelike speech. It can create audio versions of books, articles, podcasts, and more. However, it is not designed for searching for text in documents stored in Amazon S33. Amazon Lex is a service for building conversational interfaces using voice and text. It can create chatbots that can interact with users using natural language. However, it is not designed for searching for text in documents stored in Amazon S34. References: * Amazon Kendra - Intelligent Search Service Powered by Machine Learning * Amazon Rekognition - Video and Image - AWS * Amazon Polly - Text-to-Speech Service - AWS * Amazon Lex - Build Conversation Bots - AWS
Question 44
A company deployed an Amazon EC2 instance last week. A developer realizes that the EC2 instance is no longer running. The developer reviews a list of provisioned EC2 instances, and the EC2 instance is no longer on the list. What can the developer do to generate a recent history of the EC2 instance?
Correct Answer: C
AWS CloudTrail is a service that enables governance, compliance, operational auditing, and risk auditing of a customer's AWS account. AWS CloudTrail allows customers to track user activity and API usage across their AWS infrastructure. AWS CloudTrail can also provide a history of EC2 instance events, such as launch, stop, terminate, and reboot. Cost Explorer is a tool that enables customers to visualize, understand, and manage their AWS costs and usage over time. Amazon Inspector is an automated security assessment service that helps improve the security and compliance of applications deployed on AWS. AWS Secrets Manager helps customers protect secrets needed to access their applications, services, and IT resources.
Question 45
Which AWS service is designed to help users handle large amounts of data in a data warehouse environment?
