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Amazon CLF-C02 Exam Syllabus Topics:

SectionWeightObjectives
Cloud Concepts24%- Identify aspects of AWS Cloud economics
- Explain the different cloud architecture design principles
- Define the AWS Cloud and its value proposition
Billing, Pricing, and Support12%- Identify resources available for billing support
- Recognize the various account structures in relation to AWS billing and pricing
- Compare and contrast the various pricing models for AWS
Cloud Technology and Services34%- Define methods of deploying and operating in the AWS Cloud
- Define the AWS global infrastructure
- Identify the core AWS services
  • 1. Database
  • 2. Compute
  • 3. Storage
  • 4. Network
- Identify resources for technology support
Security and Compliance30%- Identify resources for security support
- Identify AWS access management capabilities
- Define AWS Cloud security and compliance concepts
- Define the AWS shared responsibility model

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Amazon AWS Certified Cloud Practitioner Sample Questions (Q65-Q70):

NEW QUESTION # 65
Which task is the responsibility of a company that is using Amazon RDS?

Answer: B

Explanation:
Explanation
The correct answer is B because AWS IAM policies can be used to control administrative access to the Amazon RDS service. The other options are incorrect because they are the responsibilities of AWS, not the company that is using Amazon RDS. AWS manages the provisioning, cabling, installation, and patching of the underlying infrastructure for Amazon RDS. Reference: Amazon RDS FAQs


NEW QUESTION # 66
A company is moving to the AWS Cloud to reduce operational overhead for its application infrastructure.
Which IT operation will the company still be responsible for after the migration to AWS?

Answer: B

Explanation:
AWS Elastic Beanstalk, Amazon Aurora, and AWS Auto Scaling are managed services that reduce the operational overhead for the customers. AWS is responsible for security patching, backups, and termination of these services. However, the customers are still responsible for configuring IAM access controls to manage the permissions and policies for their AWS resources. This is part of the AWS shared responsibility model, which defines the security and compliance responsibilities of AWS and the customers. You can learn more about the AWS shared responsibility model from this whitepaper or this digital course.


NEW QUESTION # 67
Which database engine is compatible with Amazon RDS?

Answer: A

Explanation:
Amazon RDS supports six database engines: Amazon Aurora, MySQL, MariaDB, PostgreSQL, Oracle, and SQL Server. Apache Cassandra, MongoDB, and Neo4j are not compatible with Amazon RDS. Therefore, the correct answer is D. You can learn more about Amazon RDS and its supported database engines from this page.


NEW QUESTION # 68
A company wants to create a chatbot and integrate the chatbot with its current web application.
Which AWS service will meet these requirements?

Answer: B

Explanation:
Explanation
The AWS service that will meet the requirements of the company that wants to create a chatbot and integrate the chatbot with its current web application is Amazon Lex. Amazon Lex is a service that helps customers build conversational interfaces using voice and text. The company can use Amazon Lex to create a chatbot that can understand natural language and respond to user requests, using the same deep learning technologies that power Amazon Alexa. Amazon Lex also provides easy integration with other AWS services, such as Amazon Comprehend, Amazon Polly, and AWS Lambda, as well as popular platforms, such as Facebook Messenger, Slack, and Twilio. Amazon Lex helps customers create engaging and interactive chatbots for their web applications. Amazon Kendra, Amazon Textract, and Amazon Polly are not the best services to use for this purpose. Amazon Kendra is a service that helps customers provide accurate and natural answers to natural language queries using machine learning. Amazon Textract is a service that helps customers extract text and data from scanned documents using optical character recognition (OCR) and machine learning. Amazon Polly is a service that helps customers convert text into lifelike speech using deep learning. These services are more useful for different types of natural language processing and generation tasks, rather than creating and integrating chatbots.


NEW QUESTION # 69
A company has a social media platform in which users upload and share photos with other users. The company wants to identify and remove inappropriate photos. The company has no machine learning (ML) scientists and must build this detection capability with no ML expertise.
Which AWS service should the company use to build this capability?

Answer: B

Explanation:
Explanation
Amazon Rekognition is the AWS service that the company should use to build the capability of identifying and removing inappropriate photos. Amazon Rekognition is a service that uses deep learning technology to analyze images and videos for various purposes, such as face detection, object recognition, text extraction, and content moderation. Amazon Rekognition can help users detect unsafe or inappropriate content in images and videos, such as nudity, violence, or drugs, and provide confidence scores for each label. Amazon Rekognition does not require any machine learning expertise, and users can easily integrate it with other AWS services


NEW QUESTION # 70
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