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The AWS Certified Solutions Architect - Associate certification exam is designed for Solutions Architects, Cloud Architects, and DevOps Engineers with one or more years of hands-on experience designing and deploying scalable, highly available, and fault-tolerant systems on AWS. SAA-C03 Exam consists of 65 multiple-choice and multiple-response questions, which must be completed within 130 minutes. The questions are designed to test a candidate's knowledge of AWS services and their ability to use those services to design and implement solutions that meet customer requirements.

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Amazon SAA-C03 Certification is a valuable asset for individuals who want to demonstrate their expertise in AWS solutions architecture. It is recognized by organizations worldwide and is a requirement for many AWS-related job roles. Being certified in AWS solutions architecture can lead to increased job opportunities and higher pay. Additionally, it can help individuals gain a competitive edge in the job market and provide them with the skills and knowledge necessary to design and implement complex AWS solutions.

Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q317-Q322):

NEW QUESTION # 317
A company is developing a two-tier web application on AWS. The company's developers have deployed the application on an Amazon EC2 instance that connects directly to a backend Amazon RDS database. The company must not hardcode database credentials in the application. The company must also implement a solution to automatically rotate the database credentials on a regular basis.
Which solution will meet these requirements with the LEAST operational overhead?

A. Store the database credentials in a configuration file in an encrypted Amazon S3 bucket. Use Amazon EventBridge (Amazon CloudWatch Events) rules to run a scheduled AWS Lambda function that updates the RDS credentials and the credentials in the configuration file at the same time. Use S3 Versioning to ensure the ability to fall back to previous values.
B. Store the database credentials as a secret in AWS Secrets Manager. Turn on automatic rotation for the secret. Attach the required permission to the EC2 role to grant access to the secret.
C. Store the database credentials in the instance metadata. Use Amazon EventBridge (Amazon CloudWatch Events) rules to run a scheduled AWS Lambda function that updates the RDS credentials and instance metadata at the same time.
D. Store the database credentials as encrypted parameters in AWS Systems Manager Parameter Store. Turn on automatic rotation for the encrypted parameters. Attach the required permission to the EC2 role to grant access to the encrypted parameters.

Answer: B

NEW QUESTION # 318
A company maintains about 300 TB in Amazon S3 Standard storage month after month The S3 objects are each typically around 50 GB in size and are frequently replaced with multipart uploads by their global application The number and size of S3 objects remain constant but the company's S3 storage costs are increasing each month.
How should a solutions architect reduce costs in this situation?

A. Configure Amazon CloudFront to reduce the number of objects stored in Amazon S3.
B. Enable an S3 Lifecycle policy that deletes incomplete multipart uploads.
C. Switch from multipart uploads to Amazon S3 Transfer Acceleration.
D. Configure S3 inventory to prevent objects from being archived too quickly.

Answer: B

Explanation:
This option is the most cost-effective way to reduce the S3 storage costs in this situation. Incomplete multipart uploads are parts of objects that are not completed or aborted by the application. They consume storage space and incur charges until they are deleted. By enabling an S3 Lifecycle policy that deletes incomplete multipart uploads, you can automatically remove them after a specified period of time (such as one day) and free up the storage space. This will reduce the S3 storage costs and also improve the performance of the application by avoiding unnecessary retries or errors.
Option A is not correct because switching from multipart uploads to Amazon S3 Transfer Acceleration will not reduce the S3 storage costs. Amazon S3 Transfer Acceleration is a feature that enables faster data transfers to and from S3 by using the AWS edge network. It is useful for improving the upload speed of large objects over long distances, but it does not affect the storage space or charges. In fact, it may increase the costs by adding a data transfer fee for using the feature.
Option C is not correct because configuring S3 inventory to prevent objects from being archived too quickly will not reduce the S3 storage costs. Amazon S3 Inventory is a feature that provides a report of the objects and their metadata in an S3 bucket. It is useful for managing and auditing the S3 objects, but it does not affect the storage space or charges. In fact, it may increase the costs by generating additional S3 objects for the inventory reports.
Option D is not correct because configuring Amazon CloudFront to reduce the number of objects stored in Amazon S3 will not reduce the S3 storage costs. Amazon CloudFront is a content delivery network (CDN) that distributes the S3 objects to edge locations for faster and lower latency access. It is useful for improving the download speed and availability of the S3 objects, but it does not affect the storage space or charges. In fact, it may increase the costs by adding a data transfer fee for using the service. References:
Managing your storage lifecycle
Using multipart upload
Amazon S3 Transfer Acceleration
Amazon S3 Inventory
What Is Amazon CloudFront?

NEW QUESTION # 319
A company runs a high performance computing (HPC) workload on AWS. The workload required low-latency network performance and high network throughput with tightly coupled node-to-node communication. The Amazon EC2 instances are properly sized for compute and storage capacity, and are launched using default options.
What should a solutions architect propose to improve the performance of the workload?

A. Choose dedicated instance tenancy while launching Amazon EC2 instances.
B. Choose the required capacity reservation while launching Amazon EC2 instances.
C. Choose an Elastic Inference accelerator while launching Amazon EC2 instances.
D. Choose a cluster placement group while launching Amazon EC2 instances.

Answer: D

Explanation:
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-ec2-placementgroup.html: "A cluster placement group is a logical grouping of instances within a single Availability Zone that benefit from low network latency, high network throughput"

NEW QUESTION # 320
A company uses AWS Organizations with all features enabled and runs multiple Amazon EC2 workloads in the ap-southeast-2 Region. The company has a service control policy (SCP) that prevents any resources from being created in any other Region. A security policy requires the company to encrypt all data at rest.
An audit discovers that employees have created Amazon Elastic Block Store (Amazon EBS) volumes for EC2 instances without encrypting the volumes. The company wants any new EC2 instances that any 1AM user or root user launches in ap-southeast-2 to use encrypted EBS volumes. The company wants a solution that will have minimal effect on employees who create EBS volumes.
Which combination of steps will meet these requirements? (Select TWO.)

A. Update the 1AM policies for each account to deny the ec2:CreateVolume action when the ec2:Encrypted condition equals false.
B. Create an 1AM permission boundary. Attach the permission boundary to the root organizational unit (OU). Define the boundary to deny the ec2:CreateVolume action when the ec2:Encrypted condition equals false.
C. In the Organizations management account, specify the Default EBS volume encryption setting.
D. In the Amazon EC2 console, select the EBS encryption account attribute and define a default encryption key.
E. Create an SCR Attach the SCP to the root organizational unit (OU). Define the SCP to deny the ec2:CreateVolume action when the ec2:Encrypted condition equals false.

Answer: E

Explanation:
A service control policy (SCP) is a type of policy that you can use to manage permissions in your organization. SCPs offer central control over the maximum available permissions for all accounts in your organization, allowing you to ensure your accounts stay within your organization's access control guidelines. You can use an SCP to deny the ec2:CreateVolume action when the ec2:Encrypted condition equals false, which means that any user or role in the accounts under the root OU will not be able to create unencrypted EBS volumes. This solution will have minimal effect on employees who create EBS volumes, as they can still create encrypted volumes as needed. Reference: https://docs.aws.amazon.com/organizations/latest/userguide/orgs_manage_policies_scps.html

NEW QUESTION # 321
A company runs several websites on AWS for its different brands Each website generates tens of gigabytes of web traffic logs each day. A solutions architect needs to design a scalable solution to give the company's developers the ability to analyze traffic patterns across all the company's websites. This analysis by the developers will occur on demand once a week over the course of several months. The solution must support queries with standard SQL.
Which solution will meet these requirements MOST cost-effectively?

A. Store the logs in Amazon RDS. Use a database client for analysis.
B. Store the logs in Amazon S3. Use Amazon Athena for analysis.
C. Store the logs in Amazon OpenSearch Service. Use OpenSearch Service for analysis.
D. Store the logs in an Amazon EMR cluster. Use a supported open-source framework for SQL-based analysis.

Answer: B

Explanation:
This solution is the most cost-effective and scalable for analyzing large amounts of web traffic logs.
Amazon S3: Storing the logs in Amazon S3 is highly scalable, durable, and cost-effective. S3 is designed to handle large-scale data storage, which is ideal for storing tens of gigabytes of log data generated daily by multiple websites.
Amazon Athena: Athena is a serverless, interactive query service that allows you to analyze data in S3 using standard SQL. It works directly with the data stored in S3, so there's no need to load the data into a database, which saves on costs and reduces complexity. Athena charges based on the amount of data scanned by queries, making it a cost-effective solution for on-demand analysis that only occurs once a week.
Why Not Other Options?:
Option B (Amazon RDS): Storing logs in a relational database like Amazon RDS would be more expensive due to the storage and I/O costs associated with RDS. Additionally, it would require more management overhead.
Option C (Amazon OpenSearch Service): OpenSearch is a good option for full-text search and analytics on log data, but it might be more costly and complex to manage compared to the simplicity and cost-effectiveness of Athena for periodic SQL-based queries.
Option D (Amazon EMR): While EMR can handle large-scale data processing, it involves more operational overhead and might be overkill for the type of ad-hoc, SQL-based analysis required here. Additionally, EMR costs can be higher due to the need to maintain a cluster.
AWS Reference:
Amazon S3 - Information on how to store and manage data in Amazon S3.
Amazon Athena - Documentation on using Amazon Athena for querying data stored in S3 using SQL.

NEW QUESTION # 322
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