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Amazon AWS Certified Cloud Practitioner Sample Questions (Q713-Q718):

NEW QUESTION # 713
A company needs to store data from a recommendation engine in a database.
Which AWS service provides this functionality with the LEAST operational overhead?

A. Amazon Neptune
B. Amazon Aurora
C. Amazon RDS for PostgreSQL
D. Amazon DynamoDB

Answer: D

Explanation:
Amazon DynamoDB is a key-value and document database that delivers single-digit millisecond performance at any scale. It's a fully managed, multi-region, multi-active, durable database with built-in security, backup and restore, and in-memory caching for internet-scale applications. DynamoDB can handle more than 10 trillion requests per day and can support peaks of more than 20 million requests per second. DynamoDB provides the least operational overhead for storing data from a recommendation engine, as it does not require any server provisioning, patching, or maintenance3

NEW QUESTION # 714
Which of the following is a fully managed MySQL-compatible database?

A. Amazon Redshift
B. Amazon Aurora
C. Amazon DynamoDB
D. Amazon S3

Answer: B

Explanation:
Amazon Aurora is a fully managed MySQL-compatible database that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open-source databases. Amazon Aurora is part of the Amazon Relational Database Service (Amazon RDS) family, which means it inherits the benefits of a fully managed service, such as automated backups, patches, scaling, monitoring, and security. Amazon Aurora also offers up to five times the throughput of standard MySQL, as well as high availability, durability, and fault tolerance with up to 15 read replicas, cross-Region replication, and self-healing storage. Amazon Aurora is compatible with the latest versions of MySQL, as well as PostgreSQL, and supports various features and integrations that enhance its functionality and usability123 Amazon Aurora, Amazon RDS, AWS - Amazon Aurora Overview

NEW QUESTION # 715
A company is running workloads for multiple departments within a single VPC. The company needs to be able to bill each department for its resource usage.
Which action should the company take to accomplish this goal with the LEAST operational overhead?

A. Add a department tag to each resource and configure cost allocation tags.
B. Move each department resource to its own AWS account.
C. Use AWS Organizations to get a billing report for each department.
D. Move each department resource to its own VPC.

Answer: A

Explanation:
Adding a department tag to each resource and configuring cost allocation tags is an action that can help you accomplish the goal of billing each department for its resource usage with the least operational overhead.
Tags are simple labels consisting of a key and an optional value that you can assign to AWS resources. You can use tags to organize your resources and track your AWS costs on a detailed level. Cost allocation tags enable you to track your AWS costs on a detailed level. After you activate cost allocation tags, AWS uses the cost allocation tags to organize your resource costs on your cost allocation report, to make it easier for you to categorize and track your AWS costs2. Moving each department resource to its own VPC or its own AWS account is an action that can help you isolate and control the resources for each department, but it would incur more operational overhead than using tags. Using AWS Organizations to get a billing report for each department is an action that can help you consolidate billing and payment across multiple AWS accounts, but it would not help you bill each department for its resource usage within a single VPC.

NEW QUESTION # 716
A company wants to implement controls (guardrails) in a newly created AWS Control Tower landing zone.
Which AWS services or features can the company use to create and define these controls (guardrails)? (Select TWO.)

A. Security groups
B. Amazon GuardDuty
C. AWS Identity and Access Management (IAM)
D. Service control policies (SCPs)
E. AWS Config

Answer: D,E

Explanation:
AWS Config and service control policies (SCPs) are AWS services or features that the company can use to create and define controls (guardrails) in a newly created AWS Control Tower landing zone. AWS Config is a service that enables users to assess, audit, and evaluate the configurations of their AWS resources. It can be used to create rules that check for compliance with the desired configurations and report any deviations. AWS Control Tower provides a set of predefined AWS Config rules that can be enabled as guardrails to enforce compliance across the landing zone1. Service control policies (SCPs) are a type of policy that can be used to manage permissions in AWS Organizations. They can be used to restrict the actions that the users and roles in the member accounts can perform on the AWS resources. AWS Control Tower provides a set of predefined SCPs that can be enabled as guardrails to prevent access to certain services or regions across the landing zone2. Amazon GuardDuty is a service that provides intelligent threat detection and continuous monitoring for AWS accounts and resources. It is not a feature that can be used to create and define controls (guardrails) in a landing zone. AWS Identity and Access Management (IAM) is a service that allows users to manage access to AWS resources and services. It can be used to create users, groups, roles, and policies that control who can do what in AWS. It is not a feature that can be used to create and define controls (guardrails) in a landing zone. Security groups are virtual firewalls that control the inbound and outbound traffic for Amazon EC2 instances. They can be used to allow or deny access to an EC2 instance based on the port, protocol, and source or destination. They are not a feature that can be used to create and define controls (guardrails) in a landing zone.

NEW QUESTION # 717
A company is operating several factories where it builds products. The company needs the ability to process data, store data, and run applications with local system interdependencies that require low latency.
Which AWS service should the company use to meet these requirements?

A. AWS Snowball Edge
B. AWS Lambda
C. AWS Outposts
D. AWS loT Greengrass

Answer: C

Explanation:
Explanation
AWS Outposts is a service that provides fully managed AWS infrastructure and services on premises. It allows users to run applications that require low latency and local data processing, while seamlessly connecting to the AWS Cloud for a consistent hybrid experience. AWS IoT Greengrass is a service that provides local compute, messaging, data caching, sync, and ML inference capabilities for connected devices. AWS Lambda is a service that allows users to run code without provisioning or managing servers. AWS Snowball Edge is a device that provides a petabyte-scale data transport and edge computing solution.

NEW QUESTION # 718
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