Amazon CLF-C02 Practice Test - Questions Answers, Page 47

AWS Migration Hub is a service that provides a single location to track the progress of application migrations across multiple AWS and partner solutions.It allows you to choose the AWS and partner migration tools that best fit your needs, while providing visibility into the status of migrations across your portfolio of applications1.AWS Migration Hub supports migration status updates from the following tools: AWS Application Migration Service, AWS Database Migration Service, CloudEndure Migration, Server Migration Service, and Migrate for Compute Engine1.

The other options are not correct for the following reasons:

AWS Application Discovery Service is a service that helps you plan your migration projects by automatically identifying servers, applications, and dependencies in your on-premises data centers2. It does not track the progress of application migrations, but rather provides information to help you plan and scope your migrations.

AWS Application Migration Service is a service that helps you migrate and modernize applications from any source infrastructure to AWS with minimal downtime and disruption3. It is one of the migration tools that can send status updates to AWS Migration Hub, but it is not the service that provides a single location to track the progress of application migrations.

AWS Service Catalog is a service that allows you to create and manage catalogs of IT services that are approved for use on AWS4. It does not track the progress of application migrations, but rather helps you manage the provisioning and governance of your IT services.

1: What Is AWS Migration Hub? - AWS Migration Hub

2: What Is AWS Application Discovery Service? - AWS Application Discovery Service

3: App Migration Tool - AWS Application Migration Service - AWS

4: What Is AWS Service Catalog? - AWS Service Catalog

The platform perspective of the AWS Cloud Adoption Framework (AWS CAF) helps you build an enterprise-grade, scalable, hybrid cloud platform, modernize existing workloads, and implement new cloud-native solutions1.It comprises seven capabilities, two of which are data engineering and CI/CD1.

Data engineering: This capability helps you design and evolve a fit-for-purpose data and analytics architecture that can reduce complexity, cost, and technical debt while enabling you to gain actionable insights from exponentially growing data volumes1. It involves selecting key technologies for each of your architectural layers, such as ingestion, storage, catalog, processing, and consumption.It also involves supporting real-time data processing and adopting a Lake House architecture to facilitate data movements between data lakes and purpose-built data stores1.

CI/CD: This capability helps you automate the delivery of your cloud solutions using a set of practices and tools that enable faster and more reliable deployments1. It involves establishing a pipeline that can build, test, and deploy your code across multiple environments.It also involves adopting a DevOps culture that fosters collaboration, feedback, and continuous improvement among your development and operations teams1.

1: Platform perspective: infrastructure and applications - An Overview of the AWS Cloud Adoption Framework

Amazon Macie is a fully managed service that uses machine learning and pattern matching to help you detect, classify, and better protect your sensitive data stored in the AWS Cloud1.Macie can automatically discover and scan your Amazon S3 buckets for sensitive data such as personally identifiable information (PII), financial information, healthcare information, intellectual property, and credentials1.Macie also provides you with a dashboard that shows the type, location, and volume of sensitive data in your AWS environment, as well as alerts and findings on potential security issues1.

The other options are not suitable for identifying sensitive data in AWS.Amazon Inspector is a service that helps you find security vulnerabilities and deviations from best practices in your Amazon EC2 instances2.AWS Identity and Access Management (IAM) is a service that helps you manage access to your AWS resources by creating users, groups, roles, and policies3.Amazon CloudWatch is a service that helps you monitor and troubleshoot your AWS resources and applications by collecting metrics, logs, events, and alarms4.

1: What Is Amazon Macie? - Amazon Macie

2: What Is Amazon Inspector? - Amazon Inspector

3: What Is IAM? - AWS Identity and Access Management

4: What Is Amazon CloudWatch? - Amazon CloudWatch

The correct answer is D. AWS Snowball Edge.

AWS Snowball Edge is a physical device that can be used to collect and process data locally and then transfer it to AWS. It is designed for situations where there is limited or intermittent network connectivity, or where bandwidth costs are high. AWS Snowball Edge can store up to 80 TB of data and has compute and storage capabilities to run applications on the device1.

AWS Database Migration Service (AWS DMS) is a service that helps migrate databases to AWS. It does not collect or process data locally, nor does it work offline2.

AWS DataSync is a service that helps transfer data between on-premises storage systems and AWS storage services. It does not collect or process data locally, and it requires a network connection to work3.

AWS Backup is a service that helps automate and manage backups across AWS services. It does not collect or process data locally, nor does it transfer data to AWS. It only backs up data that is already in AWS4.

1: AWS Snowball Edge 2: AWS Database Migration Service (AWS DMS) 3: AWS DataSync 4: AWS Backup

The AWS Cloud Adoption Framework (AWS CAF) people perspective capabilities are the organizational skills and processes that enable effective cloud adoption. According to the AWS CAF people perspective whitepaper1, there are seven capabilities in this perspective, two of which are:

Organizational alignment: This capability helps you align your organizational structure, roles, and responsibilities to support your cloud transformation goals and objectives. It involves assessing your current and desired state of alignment, identifying gaps and misalignments, and designing and implementing changes to optimize your cloud performance1.

Organization design: This capability helps you design and evolve your organization to enable agility, innovation, and collaboration in the cloud. It involves defining your cloud operating model, identifying the skills and competencies needed for cloud roles, and creating career paths and development plans for your cloud workforce1.

The other options are not capabilities in the AWS CAF people perspective. Portfolio management, risk management, and modern application development are capabilities in the AWS CAF business perspective, governance perspective, and platform perspective respectively2.

1: AWS Cloud Adoption Framework: People Perspective - AWS Cloud Adoption Framework: People Perspective

2: AWS Cloud Adoption Framework - AWS Cloud Adoption Framework

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.

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]

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.

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

Amazon RDS is a managed database service that handles most of the common database administration tasks, such as hardware provisioning, server maintenance, backup and recovery, patching, scaling, and replication. However, Amazon RDS does not optimize the application that interacts with the database.The company is still responsible for tuning the performance, security, and availability of the application according to its business requirements and best practices12.

What is Amazon Relational Database Service (Amazon RDS)?

Perform common DBA tasks for Amazon RDS DB instances

AWS Enterprise Support provides customers with a designated technical account manager (TAM) who is a single point of contact for all technical and operational issues. The TAM provides consultative architectural and operational guidance delivered in the context of the customer's applications and use-cases to help them achieve the greatest value from AWS.The TAM also helps customers with proactive services, such as strategic business reviews, security improvement programs, guided Well-Architected reviews, cost optimization workshops, and more1.

A full set of AWS Trusted Advisor checks is not an additional benefit of AWS Enterprise Support, as it is also included in the AWS Business Support plan2. AWS Trusted Advisor is a tool that provides best practice recommendations for cost optimization, performance, security, fault tolerance, and service limits.

Phone, email, and chat access to cloud support engineers 24 hours a day, 7 days a week is not an additional benefit of AWS Enterprise Support, as it is also included in the AWS Business Support plan2. Cloud support engineers can help customers with technical issues, such as troubleshooting, configuration, usage, and service features.

A consultative review and architecture guidance for the company's applications is not an additional benefit of AWS Enterprise Support, as it is also included in the AWS Business Support plan2. Customers can request a consultative review from a solutions architect who will provide best practices and recommendations based on the customer's use-cases and goals.