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| Section | Weight | Objectives |
|---|---|---|
| Cloud Technology and Services | 34% | - Identify the core AWS services
- Identify resources for technology support - Define methods of deploying and operating in the AWS Cloud |
| Cloud Concepts | 24% | - Identify aspects of AWS Cloud economics - Define the AWS Cloud and its value proposition - Explain the different cloud architecture design principles |
| Billing, Pricing, and Support | 12% | - Recognize the various account structures in relation to AWS billing and pricing - Identify resources available for billing support - Compare and contrast the various pricing models for AWS |
| Security and Compliance | 30% | - Identify resources for security support - Define the AWS shared responsibility model - Identify AWS access management capabilities - Define AWS Cloud security and compliance concepts |
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NEW QUESTION # 725
A user needs a relational database but does not have the resources to manage the hardware, resiliency, and replication.
Which AWS service option meets the user's requirements'?
Answer: C
Explanation:
Amazon RDS for MySQL is a fully managed, open-source cloud database service that allows you to easily operate and scale your relational database of choice, including MySQL. With Amazon RDS for MySQL, you don't have to worry about the hardware, resiliency, and replication of your database, as Amazon RDS handles these tasks for you. Amazon RDS for MySQL also provides features such as automated backups, multi-AZ deployments, read replicas, encryption, monitoring, and more. Amazon RDS for MySQL is compatible with the MySQL Community Edition versions 5.7 and 8.0, which means that you can use the same code, applications, and tools that you already use with MySQL4567. Reference: 4: Hosted MySQL - Amazon RDS for MySQL - AWS, 5: Amazon RDS for MySQL - Amazon Relational Database Service, 6: Amazon RDS for MySQL, 7: Managed SQL Database - Amazon Relational Database Service (RDS) - AWS
NEW QUESTION # 726
Which task is a customer's responsibility, according to the AWS shared responsibility model?
Answer: A
Explanation:
Explanation
Management of the guest operating systems is a customer's responsibility, according to the AWS shared responsibility model. The AWS shared responsibility model defines the different security and compliance responsibilities of AWS and the customer. AWS is responsible for the security of the cloud, which includes the physical infrastructure, hardware, software, and facilities that run the AWS Cloud. The customer is responsible for security in the cloud, which includes the configuration and management of the guest operating systems, applications, data, and network traffic protection
NEW QUESTION # 727
A company needs to store data across multiple Availability Zones in an AWS Region. The data will not be accessed regularly but must be immediately retrievable.
Which Amazon Elastic File System (Amazon EFS) storage class meets these requirements MOST cost effectively?
Answer: A
Explanation:
EFS Standard-Infrequent Access (EFS Standard-IA) is the storage class that meets the requirements of storing data across multiple Availability Zones in an AWS Region, that will not be accessed regularly but must be immediately retrievable, most cost-effectively. EFS Standard-IA is designed for files that are accessed less frequently, but still require the same high performance, low latency, and high availability as EFS Standard.
EFS Standard-IA has a lower storage cost than EFS Standard, but charges a small additional fee for each access. EFS One Zone and EFS One Zone-IA store data in a single Availability Zone, which reduces the availability and durability compared to EFS Standard and EFS Standard-IA.
NEW QUESTION # 728
Which of the following are design principles for reliability in the AWS Cloud? (Select TWO.)
Answer: C,E
Explanation:
The design principles for reliability in the AWS Cloud are:
Test recovery procedures. The best way to ensure that systems can recover from failures is to regularly test them using simulated scenarios. This can help identify gaps and improve the recovery process.
Automatically recover from failure. By using automation, systems can detect and correct failures without human intervention. This can reduce the impact and duration of failures and improve the availability of the system.
Scale horizontally to increase aggregate system availability. By adding more redundant resources to the system, the impact of individual resource failures can be reduced. This can also improve the performance and scalability of the system.
Stop guessing capacity. By using monitoring and automation, systems can adjust the capacity based on the demand and performance metrics. This can prevent failures due to insufficient or excessive capacity and optimize the cost and efficiency of the system.
Manage change in automation. By using automation, changes to the system can be applied in a consistent and controlled manner. This can reduce the risk of human errors and configuration drifts that can cause failures. AWS Well-Architected Framework
NEW QUESTION # 729
A company is expecting a short-term spike in internet traffic for its application. During the traffic increase, the application cannot be interrupted. The company also needs to minimize cost and maximize flexibility.
A company needs to use a serverless interactive query service to analyze data in Amazon S3. The query service must support standard SQL.
Which AWS service will meet these requirements?
Answer: D
Explanation:
Explanation
Amazon Athena is a serverless interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is ideal for quick, ad-hoc querying but it can also handle complex analysis, including large joins, window functions, and arrays. Athena scales automatically-executing queries in parallel-so results are fast, even with large datasets and complex queries. Amazon Redshift is a fully managed, petabyte-scale data warehouse service that can run complex analytic queries against structured and semi-structured data using standard SQL. However, it is not a serverless service and requires provisioning and managing clusters of nodes. AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy to prepare and load your data for analytics. However, it is not a query service and does not support standard SQL. Amazon Kinesis Data Streams is a service that enables you to build custom applications that process or analyze streaming data for specialized needs. However, it is not a query service and does not support standard SQL.
NEW QUESTION # 730
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