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Study Material For Amazon SAA-C03 Exam Questions
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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q620-Q625):NEW QUESTION # 620
A company has an ordering application that stores customer information in Amazon RDS for MySQL. During regular business hours, employees run one-time queries for reporting purposes. Timeouts are occurring during order processing because the reporting queries are taking a long time to run. The company needs to eliminate the timeouts without preventing employees from performing queries.
- A. Schedule the reporting queries for non-peak hours.
- B. Migrate the ordering application to Amazon DynamoDB with on-demand capacity.
- C. Create a read replica. Move reporting queries to the read replica.
- D. Create a read replica. Distribute the ordering application to the primary DB instance and the read replica.
Answer: C
Explanation:
Comprehensive and Detailed
Amazon RDS for MySQL supports the creation of read replicas, which are read-only copies of the primary database instance. By offloading read-heavy operations, such as reporting queries, to a read replica:
Performance Improvement: The primary DB instance is relieved from the additional load, reducing the likelihood of timeouts during order processing.
Data Consistency: Read replicas use asynchronous replication, ensuring that they have up-to-date data for accurate reporting.
Scalability: Multiple read replicas can be created to handle increased read traffic.
This approach allows employees to continue running necessary reports without impacting the performance of the ordering application.
NEW QUESTION # 621
[Design Secure Architectures]
A company uses AWS Organizations to run workloads within multiple AWS accounts A tagging policy adds department tags to AWS resources when the company creates tags.
An accounting team needs to determine spending on Amazon EC2 consumption The accounting team must determine which departments are responsible for the costs regardless of AWS account The accounting team has access to AWS Cost Explorer for all AWS accounts within the organization and needs to access all reports from Cost Explorer.
Which solution meets these requirements in the MOST operationally efficient way'?
- A. From the Organizations management account billing console, activate an AWS-defined cost allocation tag named department. Create one cost report in Cost Explorer grouping by tag name, and filter by EC2.
- B. From the Organizations management account billing console, activate a user-defined cost allocation tag named department Create one cost report in Cost Explorer grouping by tag name, and filter by EC2.
- C. From the Organizations member account billing console, activate a user-defined cost allocation tag named department. Create one cost report in Cost Explorer grouping by the tag name, and filter by EC2.
- D. From the Organizations member account billing console, activate an AWS-defined cost allocation tag named department. Create one cost report in Cost Explorer grouping by tag name and filter by EC2.
Answer: A
Explanation:
This solution meets the following requirements:
It is operationally efficient, as it only requires one activation of the cost allocation tag and one creation of the cost report from the management account, which has access to all the member accounts' data and billing preferences.
It is consistent, as it uses the AWS-defined cost allocation tag named department, which is automatically applied to resources when the company creates tags using the tagging policy enforced by AWS Organizations. This ensures that the tag name and value are the same across all the resources and accounts, and avoids any discrepancies or errors that might arise from user-defined tags.
It is informative, as it creates one cost report in Cost Explorer grouping by the tag name, and filters by EC2. This allows the accounting team to see the breakdown of EC2 consumption and costs by department, regardless of the AWS account. The team can also use other features of Cost Explorer, such as charts, filters, and forecasts, to analyze and optimize the spending.
Reference:
Using AWS cost allocation tags - AWS Billing
User-defined cost allocation tags - AWS Billing
Cost Tagging and Reporting with AWS Organizations
NEW QUESTION # 622
A company is developing a social media application. The company anticipates rapid and unpredictable growth in users and data volume. The application needs to handle a continuous high volume of user requests. User requests include long-running processes that store large amounts of user-generated content and user profiles in a relational format. The processes must run in a specific order. The company requires an architecture that can scale resources to meet demand spikes without downtime or performance degradation. The company must ensure that the components of the application can evolve independently without affecting other parts of the system. Which combination of AWS services will meet these requirements?
- A. Use an AWS Elastic Beanstalk environment with auto scaling to deploy the application. Use Amazon RDS as the database. Use Amazon Simple Notification Service (Amazon SNS) to decouple message processing between components.
- B. Deploy the application on Amazon Elastic Container Service (Amazon ECS) with the AWS Fargate launch type. Use Amazon RDS as the database. Use Amazon Simple Queue Service (Amazon SQS) to decouple message processing between components.
- C. Use Amazon DynamoDB as the database. Use AWS Lambda functions to implement the application.
Configure Amazon DynamoDB Streams to invoke the Lambda functions. Use AWS Step Functions to manage workflows between services. - D. Deploy the application on Amazon Elastic Container Service (Amazon ECS) with the AWS Fargate launch type. Use Amazon RDS as the database. Use Amazon Simple Notification Service (Amazon SNS) to decouple message processing between components.
Answer: B
Explanation:
* ECS with Fargate: Allows containerized workloads to scale rapidly without managing underlying servers, handling unpredictable growth effectively.
* RDS for Relational Data: Manages large relational datasets efficiently while supporting high availability.
* SQS for Decoupling: Ensures message processing occurs in a specific order, decoupling application components and allowing independent evolution.: AWS ECS with Fargate Documentation, AWS SQS Documentation
NEW QUESTION # 623
A data analytics company has been building its new generation big data and analytics platform on their AWS cloud infrastructure. They need a storage service that provides the scale and performance that their big data applications require such as high throughput to compute nodes coupled with read- after-write consistency and low-latency file operations. In addition, their data needs to be stored redundantly across multiple AZs and allows concurrent connections from multiple EC2 instances hosted on multiple AZs.
Which of the following AWS storage services will you use to meet this requirement?
- A. S3
- B. Glacier
- C. EBS
- D. EFS
Answer: D
Explanation:
In this question, you should take note of the two keywords/phrases: "file operation" and "allows concurrent connections from multiple EC2 instances". There are various AWS storage options that you can choose but whenever these criteria show up, always consider using EFS instead of using EBS Volumes which is mainly used as a "block" storage and can only have one connection to one EC2 instance at a time. Amazon EFS provides the scale and performance required for big data applications that require high throughput to compute nodes coupled with read-after-write consistency and low-latency file operations.
Amazon EFS is a fully-managed service that makes it easy to set up and scale file storage in the Amazon Cloud. With a few clicks in the AWS Management Console, you can create file systems that are accessible to Amazon EC2 instances via a file system interface (using standard operating system file I/O APIs) and supports full file system access semantics (such as strong consistency and file locking).
Amazon EFS file systems can automatically scale from gigabytes to petabytes of data without needing to provision storage. Tens, hundreds, or even thousands of Amazon EC2 instances can access an Amazon EFS file system at the same time, and Amazon EFS provides consistent performance to each Amazon EC2 instance. Amazon EFS is designed to be highly durable and highly available.
EBS is incorrect because it does not allow concurrent connections from multiple EC2 instances hosted on multiple AZs and it does not store data redundantly across multiple AZs by default, unlike EFS.
S3 is incorrect because although it can handle concurrent connections from multiple EC2 instances, it does not have the ability to provide low-latency file operations, which is required in this scenario. Glacier is incorrect because this is an archiving storage solution and is not applicable in this scenario.
References:
https://docs.aws.amazon.com/efs/latest/ug/performance.html https://aws.amazon.com/efs/faq/ Check out this Amazon EFS Cheat Sheet:
https://tutorialsdojo.com/amazon-efs/
Check out this Amazon S3 vs EBS vs EFS Cheat Sheet: https://tutorialsdojo.com/amazon-s3-vs-ebs-vs- efs/ Here's a short video tutorial on Amazon EFS:
https://youtu.be/AvgAozsfCrY
NEW QUESTION # 624
A company is looking for a solution that can store video archives in AWS from old news footage. The company needs to minimize costs and will rarely need to restore these files. When the h|es are needed, they must be available in a maximum of five minutes.
What is the MOST cost-effective solution?
- A. Store the video archives in Amazon S3 Glacier and use Expedited retrievals.
- B. Store the video archives in Amazon S3 Glacier and use Standard retrievals.
- C. Store the video archives in Amazon S3 One Zone-Infrequent Access (S3 One Zone-IA)
- D. Store the video archives in Amazon S3 Standard-Infrequent Access (S3 Standard-IA).
Answer: A
Explanation:
Amazon S3 Glacier is a storage class that provides secure, durable, and extremely low-cost storage for data archiving and long-term backup. It is designed for data that is rarely accessed and for which retrieval times of several hours are suitable1. By storing the video archives in Amazon S3 Glacier, the solution can minimize costs.
Amazon S3 Glacier offers three options for data retrieval: Expedited, Standard, and Bulk. Expedited retrievals typically return data in 1-5 minutes and are suitable for Active Archive use cases. Standard retrievals typically complete within 3-5 hours and are suitable for less urgent needs. Bulk retrievals typically complete within 5-12 hours and are the lowest-cost retrieval option2. By using Expedited retrievals, the solution can meet the requirement of restoring the files in a maximum of five minutes.
1. Store the video archives in Amazon S3 Glacier and use Standard retrievals. This solution will not meet the requirement of restoring the files in a maximum of five minutes, as Standard retrievals typically complete within 3-5 hours.
2. Store the video archives in Amazon S3 Standard-Infrequent Access (S3 Standard-IA). This solution will not meet the requirement of minimizing costs, as S3 Standard-IA is a storage class that provides low-cost storage for data that is accessed less frequently but requires rapid access when needed. It has a higher storage cost than S3 Glacier.
3. Store the video archives in Amazon S3 One Zone-Infrequent Access (S3 One Zone-IA). This solution will not meet the requirement of minimizing costs, as S3 One Zone-IA is a storage class that provides low-cost storage for data that is accessed less frequently but requires rapid access when needed. It has a higher storage cost than S3 Glacier.
Reference URL: https://aws.amazon.com/s3/glacier/
NEW QUESTION # 625
......
With the AWS Certified Solutions Architect - Associate (SAA-C03) web-based practice exam, you get the same features as a SAA-C03 desktop practice test software. It includes real Amazon SAA-C03 exam questions to help you understand each topic. The web-based SAA-C03 Practice Exam is compatible with every operating system including Mac, Linux, iOS, Windows, and Android. This Amazon SAA-C03 practice exam works fine on Chrome, Internet Explorer, Microsoft Edge, Opera, etc.
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