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Amazon CLF-C02 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Cloud Technology and Services: Describe ways to access AWS services in AWS Cloud and explore connectivity options. It deals with defining the global infrastructure of AWS, computing services, and network services.
Topic 2
  • Cloud Concepts: This section involves knowledge of value proposition and exploring design rules of AWS. It covers the advantages of techniques for moving over to AWS cloud and developing a good understanding of cloud economics.
Topic 3
  • Security and Compliance: This section involves understanding the shared responsibility framework of AWS in addition to compliance and governance. It also involves exploring the management capabilities of AWS by exploring its security capabilities.
Topic 4
  • Billing, Pricing, and Support: This section contrasts pricing methods and budgeting resources management. It also tests understanding of billing methods, identifying support options, and technical resources.

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Amazon AWS Certified Cloud Practitioner Sample Questions (Q587-Q592):

NEW QUESTION # 587
Which AWS service is a fully managed NoSQL database service?

Answer: C

Explanation:
Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. It supports both document and key-value data models and is designed to handle large amounts of data across multiple servers. Other options, like Amazon RDS and Aurora, are managed relational database services, and Amazon Redshift is a data warehousing service.


NEW QUESTION # 588
A company needs to host a highly available application in the AWS Cloud. The application runs infrequently for short periods of time.
Which AWS service will meet these requirements with the LEAST amount of operational overhead?

Answer: B

Explanation:
Explanation
The AWS service that will meet the requirements of the company that needs to host a highly available application in the AWS Cloud that runs infrequently for short periods of time with the least amount of operational overhead is AWS Lambda. AWS Lambda is a serverless compute service that allows customers to run code without provisioning or managing servers. The company can use AWS Lambda to create and deploy their application as functions that are triggered by events, such as API calls, messages, or schedules. AWS Lambda automatically scales the compute resources based on the demand, and customers only pay for the compute time they consume. AWS Lambda also simplifies the management and maintenance of the application, as customers do not need to worry about the underlying infrastructure, security, or availability.
Amazon EC2, AWS Fargate, and Amazon Aurora are not the best services to use for this purpose. Amazon EC2 is a service that provides scalable compute capacity in the cloud, and allows customers to launch and run virtual servers, called instances, with a variety of operating systems, configurations, and specifications.
Amazon EC2 requires customers to provision and manage the instances, and pay for the instance hours they use, regardless of the application usage. AWS Fargate is a serverless compute engine for containers that allows customers to run containerized applications without managing servers or clusters. AWS Fargate requires customers to specify the amount of CPU and memory resources for each container, and pay for the resources they allocate, regardless of the application usage. Amazon Aurora is a fully managed relational database service that provides high performance, availability, and compatibility. Amazon Aurora is not a compute service, and it is not suitable for hosting an application that runs infrequently for short periods of time12


NEW QUESTION # 589
Which AWS service or tool can be used to consolidate payments for a company with multiple AWS accounts?

Answer: A

Explanation:
AWS Organizations is an account management service that enables you to consolidate multiple AWS accounts into an organization that you create and centrally manage. AWS Organizations includes consolidated billing and account management capabilities that enable you to better meet the budgetary, security, and compliance needs of your business1.


NEW QUESTION # 590
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: C

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 # 591
Which AWS services can a company use to achieve a loosely coupled architecture? (Select TWO.)

Answer: B,E

Explanation:
Amazon Simple Queue Service (Amazon SQS) and AWS Step Functions are AWS services that can be used to achieve a loosely coupled architecture. Amazon SQS is a fully managed message queuing service that enables you to decouple and scale microservices, distributed systems, and serverless applications. AWS Step Functions lets you coordinate multiple AWS services into serverless workflows so you can build and update apps quickly. Using Step Functions, you can design and run workflows that stitch together services such as AWS Lambda and Amazon SNS into feature-rich applications. Reference: Amazon SQS, AWS Step Functions


NEW QUESTION # 592
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