High Pass-Rate CLF-C02 - AWS Certified Cloud Practitioner Latest Exam Questions

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Amazon CLF-C02 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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.
Topic 4
  • 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.

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Amazon AWS Certified Cloud Practitioner Sample Questions (Q517-Q522):

NEW QUESTION # 517
Which AWS service uses AWS Compute Optimizer to provide sizing recommendations based on workload metrics?

Answer: A

Explanation:
Amazon EC2 is a web service that provides secure, resizable compute capacity in the cloud. It allows you to launch virtual servers, called instances, with different configurations of CPU, memory, storage, and networking resources. AWS Compute Optimizer analyzes the specifications and utilization metrics of your Amazon EC2 instances and generates recommendations for optimal instance types that can reduce costs and improve performance. You can view the recommendations on the AWS Compute Optimizer console or the Amazon EC2 console12.
Amazon RDS, Amazon Lightsail, and AWS Step Functions are not supported by AWS Compute Optimizer. Amazon RDS is a managed relational database service that lets you set up, operate, and scale a relational database in the cloud. Amazon Lightsail is an easy-to-use cloud platform that offers everything you need to build an application or website, plus a cost-effective, monthly plan. AWS Step Functions lets you coordinate multiple AWS services into serverless workflows so you can build and update apps quickly3 .


NEW QUESTION # 518
A company operates a petabyte-scale data warehouse to analyze its data. The company wants a solution that will not require manual hardware and software management. Which AWS service will meet these requirements?

Answer: A

Explanation:
Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to analyze all your data using your existing business intelligence tools. You can start small with no commitments, and scale to petabytes for less than a tenth of the cost of traditional solutions. Amazon Redshift does not require manual hardware and software management, as AWS handles all the tasks such as provisioning, patching, backup, recovery, failure detection, and repair12. Amazon Redshift also offers serverless capabilities, which allow you to access and analyze data without any configurations or capacity planning. Amazon Redshift automatically scales the data warehouse capacity to deliver fast performance for even the most demanding and unpredictable workloads3. Therefore, Amazon Redshift meets the requirements of the company, compared to the other options.
The other options are not suitable for the company's requirements, because:
Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. It is not designed for petabyte-scale data warehousing or analytics4.
Amazon Neptune is a fast, reliable, and fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets. It is not designed for petabyte-scale data warehousing or analytics5.
Amazon ElastiCache is a fully managed in-memory data store and cache service that supports Redis and Memcached. It is not designed for petabyte-scale data warehousing or analytics.
What is Amazon Redshift? - Amazon Redshift
Amazon Redshift Features - Amazon Redshift
Amazon Redshift Serverless - Amazon Redshift
What Is Amazon DocumentDB (with MongoDB compatibility)? - Amazon DocumentDB (with MongoDB compatibility) What Is Amazon Neptune? - Amazon Neptune
[What Is Amazon ElastiCache for Redis? - Amazon ElastiCache for Redis]


NEW QUESTION # 519
A company is planning to migrate to the AWS Cloud and wants to become more responsive to customer inquiries and feedback. The company wants to focus on organizational transformation.
A company wants to give its customers the ability to view specific data that is hosted in Amazon S3 buckets.
The company wants to keep control over the full datasets that the company shares with the customers.
Which S3 feature will meet these requirements?

Answer: C

Explanation:
S3 Access Points are a feature of Amazon S3 that allows you to easily manage access to specific data that is hosted in S3 buckets. S3 Access Points are unique hostnames that customers can use to access data in S3 buckets. You can create multiple access points for a single bucket, each with its own name and permissions.
You can use S3 Access Points to provide different levels of access to different groups of customers, such as read-only or write-only access. You can also use S3 Access Points to enforce encryption or logging requirements for specific data. S3 Access Points help you keep control over the full datasets that you share with your customers, while simplifying the access management and improving the performance and scalability of your applications.


NEW QUESTION # 520
A company is configuring its AWS Cloud environment. The company's administrators need to group users together and apply permissions to the group.
Which AWS service or feature can the company use to meet these requirements?

Answer: A

Explanation:
Explanation
The AWS service or feature that the company can use to group users together and apply permissions to the group is AWS Identity and Access Management (IAM). AWS IAM is a service that enables users to create and manage users, groups, roles, and permissions for AWS services and resources. Users can use IAM groups to organize multiple users that have similar access requirements, and attach policies to the groups that define the permissions for the users in the group. This simplifies the management and administration of user access


NEW QUESTION # 521
Which design principles should a company apply to AWS Cloud workloads to maximize sustainability and minimize environmental impact? (Select TWO.)

Answer: C,E

Explanation:
To maximize sustainability and minimize environmental impact, a company should apply the following design principles to AWS Cloud workloads: maximize utilization of Amazon EC2 instances and reduce the need for users to reinstall applications. Maximizing utilization of Amazon EC2 instances means that the company can optimize the performance and efficiency of their compute resources, and avoid wasting energy and money on idle or underutilized instances. The company can use features such as Amazon EC2 Auto Scaling, Amazon EC2 Spot Instances, and AWS Compute Optimizer to automatically adjust the number and type of instances based on demand, cost, and performance. Reducing the need for users to reinstall applications means that the company can minimize the amount of data and bandwidth required to deliver their applications to users, and avoid unnecessary downloads and updates that consume energy and resources. The company can use services such as Amazon CloudFront, AWS AppStream 2.0, and AWS Amplify to deliver their applications faster, more securely, and more efficiently to users across the globe. Minimizing utilization of Amazon EC2 instances, minimizing usage of managed services, and forcing frequent application reinstallations by users are not design principles that would maximize sustainability and minimize environmental impact. Minimizing utilization of Amazon EC2 instances would reduce the performance and efficiency of the compute resources, and potentially increase the costs and complexity of the cloud workloads.
Minimizing usage of managed services would increase the operational overhead and responsibility of the company, and potentially expose them to more security and reliability risks. Forcing frequent application reinstallations by users would increase the amount of data and bandwidth required to deliver the applications to users, and potentially degrade the user experience and satisfaction.


NEW QUESTION # 522
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