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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Security and Compliance | 30% | - Define AWS Cloud security and compliance concepts - Identify resources for security support - Identify AWS access management capabilities - Define the AWS shared responsibility model |
| Topic 2: Cloud Concepts | 24% | - Identify aspects of AWS Cloud economics - Explain the different cloud architecture design principles - Define the AWS Cloud and its value proposition |
| Topic 3: Billing, Pricing, and Support | 12% | - Identify resources available for billing support - Compare and contrast the various pricing models for AWS - Recognize the various account structures in relation to AWS billing and pricing |
| Topic 4: Cloud Technology and Services | 34% | - Define the AWS global infrastructure - Identify resources for technology support - Define methods of deploying and operating in the AWS Cloud - Identify the core AWS services
|
>> CLF-C02 Reliable Test Notes <<
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NEW QUESTION # 357
A company wants to set AWS spending targets and track costs against those targets.
Which AWS tool or feature should the company use to meet these requirements?
Answer: C
Explanation:
AWS Budgets is a tool that allows users to set AWS spending targets and track costs against those targets. Users can create budgets for various dimensions, such as service, linked account, tag, and more. Users can also receive alerts when the actual or forecasted costs exceed or are projected to exceed the budgeted amount. AWS Cost Explorer, AWS Cost and Usage Report, and Savings Plans are other AWS tools or features that can help users manage and optimize their AWS costs, but they do not enable users to set and track spending targets .
NEW QUESTION # 358
A company needs to migrate a PostgreSQL database from on-premises to Amazon RDS.
Which AWS service or tool should the company use to meet this requirement?
Answer: B
Explanation:
Explanation
AWS Database Migration Service (AWS DMS) is a managed and automated service that helps you migrate your databases from your on-premises or cloud environment to AWS, either as a one-time migration or as a continuous replication. AWS DMS supports migration between 20-plus database and analytics engines, such as PostgreSQL, Oracle, MySQL, SQL Server, MongoDB, Amazon Aurora, Amazon RDS, Amazon Redshift, and Amazon S3. AWS DMS also provides schema conversion and validation tools, as well as monitoring and security features. AWS DMS is a cost-effective and reliable solution for database migration, as you only pay for the compute resources and additional log storage used during the migration process, and you can minimize the downtime and data loss with Multi-AZ and ongoing replication12 To migrate a PostgreSQL database from on-premises to Amazon RDS using AWS DMS, you need to perform the following steps:
Create an AWS DMS replication instance in the same AWS Region as your target Amazon RDS PostgreSQL DB instance. The replication instance is a server that runs the AWS DMS replication software and connects to your source and target endpoints. You can choose the instance type, storage, and network settings based on your migration requirements3 Create a source endpoint that points to your on-premises PostgreSQL database. You need to provide the connection details, such as the server name, port, database name, user name, and password. You also need to specify the engine name as postgres and the SSL mode as required4 Create a target endpoint that points to your Amazon RDS PostgreSQL DB instance. You need to provide the connection details, such as the server name, port, database name, user name, and password. You also need to specify the engine name as postgres and the SSL mode as verify-full.
Create a migration task that defines the migration settings and options, such as the replication instance, the source and target endpoints, the migration type (full load, full load and change data capture, or change data capture only), the table mappings, the task settings, and the task monitoring role. You can also use the AWS Schema Conversion Tool (AWS SCT) to convert your source schema to the target schema and apply it to the target endpoint before or after creating the migration task.
Start the migration task and monitor its progress and status using the AWS DMS console, the AWS CLI, or the AWS DMS API. You can also use AWS CloudFormation to automate the creation and execution of the migration task.
The other options are not suitable for migrating a PostgreSQL database from on-premises to Amazon RDS.
Cloud Adoption Readiness Tool is a tool that helps you assess your readiness for cloud adoption based on six dimensions: business, people, process, platform, operations, and security. It does not perform any database migration tasks. AWS Migration Hub is a service that helps you track and manage the progress of your application migrations across multiple AWS and partner services, such as AWS DMS, AWS Application Migration Service, AWS Server Migration Service, and CloudEndure Migration. It does not perform any database migration tasks itself, but rather integrates with other migration services. AWS Application Migration Service is a service that helps you migrate your applications from your on-premises or cloud environment to AWS without making any changes to the applications, their architecture, or the migrated servers. It does not support database migration, but rather replicates your servers as Amazon Machine Images (AMIs) and launches them as EC2 instances on AWS.
References: AWS Database Migration Service, What is AWS Database Migration Service?, Working with an AWS DMS replication instance, Creating source and target endpoints for PostgreSQL, [Creating a target endpoint for Amazon RDS for PostgreSQL], [Creating a migration task for AWS DMS], [AWS Schema Conversion Tool], [Starting a migration task for AWS DMS], [AWS CloudFormation], [Cloud Adoption Readiness Tool], [AWS Migration Hub], [AWS Application Migration Service]
NEW QUESTION # 359
A company does not want to rely on elaborate forecasting to determine its usage of compute resources.
Instead, the company wants to pay only for the resources that it uses. The company also needs the ability to increase or decrease its resource usage to meet business requirements.
Which pillar of the AWS Well-Architected Framework aligns with these requirements?
Answer: D
Explanation:
Cost optimization is the pillar of the AWS Well-Architected Framework that aligns with the requirements of not relying on elaborate forecasting and paying only for the resources that are used. The cost optimization pillar focuses on the ability of a system to deliver business value at the lowest price point. Cost optimization involves using the right AWS services and resources for the workload, measuring and monitoring the cost and usage, and continuously improving the cost efficiency. Cost optimization also leverages the benefits of the AWS Cloud, such as pay-as-you-go pricing, elasticity, and scalability. For more information, see [Cost Optimization Pillar] and [Cost Optimization].
NEW QUESTION # 360
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?
Answer: A
Explanation:
Explanation
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.
References:
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]
NEW QUESTION # 361
A company wants a customized assessment of its current on-premises environment. The company wants to understand its projected running costs in the AWS Cloud.
Which AWS service or tool will meet these requirements?
Answer: D
Explanation:
Migration Evaluator is an AWS service that provides a customized assessment of your current on-premises environment and helps you build a data-driven business case for migration to AWS. Migration Evaluator collects and analyzes data from your on-premises servers, such as CPU, memory, disk, network, and utilization metrics, and compares them with the most cost-effective AWS alternatives. Migration Evaluator also helps you understand your existing software licenses and running costs, and provides recommendations for Bring Your Own License (BYOL) and License Included (LI) options in AWS. Migration Evaluator generates a detailed report that shows your projected running costs in the AWS Cloud, along with potential savings and benefits. You can use this report to support your decision-making and planning for cloud migration. Reference: Cloud Business Case & Migration Plan - Amazon Migration Evaluator - AWS, Getting started with Migration Evaluator
NEW QUESTION # 362
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