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To prepare for the Amazon SAA-C03 Certification Exam, candidates should have a good understanding of AWS services, architecture, and best practices. They should also have hands-on experience with AWS services and be able to design and deploy scalable, highly available, and fault-tolerant systems on AWS. There are many resources available to help candidates prepare for the exam, including official AWS training courses, practice exams, and study materials.
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Amazon SAA-C03 Certification Exam is a highly sought-after certification for professionals who want to validate their skills in designing and deploying scalable, highly available, and fault-tolerant systems on Amazon Web Services (AWS). The SAA-C03 Exam is the updated version of the previous SAA-C02 exam and is designed to test a candidate's ability to design and implement solutions that meet customer requirements using AWS services and technologies. Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q636-Q641):NEW QUESTION # 636
[Design Secure Architectures]
A company is implementing a new policy to enhance the security of its AWS environment. The policy requires all administrative actions that users perform on the AWS Management Console to be secured by multi-factor authentication (MFA).
Which solution will allow the company to enforce this policy in the MOST operationally efficient way?
A. Create an IAM policy that requires MFA to be enabled for the IAM roles that administrators assume to perform administrative actions.
B. Use AWS Config to periodically audit IAM users and to automatically attach an IAM policy that requires MFA when AWS Config detects administrative actions.
C. Configure an Amazon CloudWatch alarm that sends an email notification when an administrator performs an administrative action without MFA.
D. Enable MFA on the root account. Ensure that all administrators use the root account to perform administrative actions.
Answer: A
NEW QUESTION # 637
[Design Secure Architectures]
A video game company is deploying a new gaming application to its global users. The company requires a solution that will provide near real-time reviews and rankings of the players.
A solutions architect must design a solution to provide fast access to the dat a. The solution must also ensure the data persists on disks in the event that the company restarts the application.
Which solution will meet these requirements with the LEAST operational overhead?
A. Deploy an Amazon ElastiCache for Memcached cluster. Store the player data in the ElastiCache cluster.
B. Create Amazon EC2 instances in multiple AWS Regions. Store the player data on the EC2 instances. Configure Amazon Route 53 with geolocation records to direct users to the closest EC2 instance.
C. Deploy an Amazon ElastiCache for Redis cluster. Store the player data in the ElastiCache cluster.
D. Configure an Amazon CloudFront distribution with an Amazon S3 bucket as the origin. Store the player data in the S3 bucket.
Answer: C
Explanation:
Requirement Analysis: The application needs near real-time access to data, persistence, and minimal operational overhead.
ElastiCache for Redis: Provides in-memory data storage with persistence, supporting fast access and durability.
Operational Overhead: Managed service reduces the burden of setup, maintenance, and scaling.
Implementation:
Deploy an ElastiCache for Redis cluster.
Configure Redis to persist data to disk using AOF (Append-Only File) or RDB (Redis Database Backup) snapshots.
Conclusion: ElastiCache for Redis meets the requirements for fast access, data persistence, and low operational overhead.
Reference
Amazon ElastiCache:ElastiCache for Redis Documentation
NEW QUESTION # 638
[Design Secure Architectures]
An ecommerce company hosts its analytics application in the AWS Cloud. The application generates about 300 MB of data each month. The data is stored in JSON format. The company is evaluating a disaster recovery solution to back up the dat a. The data must be accessible in milliseconds if it is needed, and the data must be kept for 30 days.
Which solution meets these requirements MOST cost-effectively?
A. Amazon S3 Glacier
B. Amazon RDS for PostgreSQL
C. Amazon OpenSearch Service (Amazon Elasticsearch Service)
D. Amazon S3 Standard
Answer: D
Explanation:
This solution meets the requirements of a disaster recovery solution to back up the data that is generated by an analytics application, stored in JSON format, and must be accessible in milliseconds if it is needed. Amazon S3 Standard is a durable and scalable storage class for frequently accessed data. It can store any amount of data and provide high availability and performance. It can also support millisecond access time for data retrieval.
Option A is incorrect because Amazon OpenSearch Service (Amazon Elasticsearch Service) is a search and analytics service that can index and query data, but it is not a backup solution for data stored in JSON format. Option B is incorrect because Amazon S3 Glacier is a low-cost storage class for data archiving and long-term backup, but it does not support millisecond access time fordata retrieval. Option D is incorrect because Amazon RDS for PostgreSQL is a relational database service that can store and query structured data, but it is not a backup solution for data stored in JSON format.
Reference: https://aws.amazon.com/s3/storage-classes/ https://aws.amazon.com/s3/faqs/#Durability_and_data_protection
NEW QUESTION # 639
A company has applications that run in an organization in AWS Organizations. The company outsources operational support of the applications. The company needs to provide access for the external support engineers without compromising security.
The external support engineers need access to the AWS Management Console. The external support engineers also need operating system access to the company's fleet of Amazon EC2 instances that run Amazon Linux in private subnets.
Which solution will meet these requirements MOST securely?
A. Confirm that AWS Systems Manager Agent {SSM Agent) is installed on all instances. Assign an instance profile with the necessary policy to connect to Systems Manager. Use Systems Manager Session Manager to provide local IAM user credentials in each AWS account to the external support engineers for console access.
B. Confirm that all instances have a security group that allows SSH access only from the external support engineers source IP address ranges. Provide local IAM user credentials in each AWS account to the external support engineers for console access. Provide each external support engineer an SSH key pair to log in to the application instances.
C. Confirm that AWS Systems Manager Agent (SSM Agent) is installed on all instances. Assign an instance profile with the necessary policy to connect to Systems Manager. Use AWS IAM IdentityCenter to provide the external support engineers console access. Use Systems Manager Session Manager to assign the required permissions.
D. Create a bastion host in a public subnet. Set up the bastion host security group to allow access from only the external engineers' IP address ranges Ensure that all instances have a security group that allows SSH access from the bastion host. Provide each external support engineer an SSH key pair to log in to the application instances. Provide local account IAM user credentials to the engineers for console access.
Answer: C
Explanation:
This solution provides the most secure access for external support engineers with the least exposure to potential security risks.
AWS Systems Manager (SSM) and Session Manager: Systems Manager Session Manager allows secure and auditable access to EC2 instances without the need to open inbound SSH ports or manage SSH keys. This reduces the attack surface significantly. The SSM Agent must be installed and configured on all instances, and the instances must have an instance profile with the necessary IAM permissions to connect to Systems Manager.
IAM Identity Center: IAM Identity Center provides centralized management of access to the AWS Management Console for external support engineers. By using IAM Identity Center, youcan control console access securely and ensure that external engineers have the appropriate permissions based on their roles.
Why Not Other Options?:
Option B (Local IAM user credentials): This approach is less secure because it involves managing local IAM user credentials and does not leverage the centralized management and security benefits of IAM Identity Center.
Option C (Security group with SSH access): Allowing SSH access opens up the infrastructure to potential security risks, even when restricted by IP addresses. It also requires managing SSH keys, which can be cumbersome and less secure.
Option D (Bastion host): While a bastion host can secure SSH access, it still requires managing SSH keys and opening ports. This approach is less secure and more operationally intensive compared to using Session Manager.
AWS References:
AWS Systems Manager Session Manager- Documentation on using Session Manager for secure instance access.
AWS IAM Identity Center- Overview of IAM Identity Center and its capabilities for managing user access.
NEW QUESTION # 640
[Design Secure Architectures]
A company has one million users that use its mobile app. The company must analyze the data usage in near-real time. The company also must encrypt the data in near-real time and must store the data in a centralized location in Apache Parquet format for further processing.
Which solution will meet these requirements with the LEAST operational overhead?
A. Create an Amazon Kinesis data stream to store the data in Amazon S3. Create an Amazon EMR cluster to analyze the data. Invoke an AWS Lambda function to send the data to the EMR cluster.
B. Create an Amazon Kinesis Data Firehose delivery stream to store the data in Amazon S3. Create an Amazon EMR cluster to analyze the data.
C. Create an Amazon Kinesis data stream to store the data in Amazon S3. Create an Amazon Kinesis Data Analytics application to analyze the data. Invoke an AWS Lambda function to send the data to the Kinesis Data Analytics application.
D. Create an Amazon Kinesis Data Firehose delivery stream to store the data in Amazon S3. Create an Amazon Kinesis Data Analytics application to analyze the data
Answer: D
Explanation:
This solution will meet the requirements with the least operational overhead as it uses Amazon Kinesis Data Firehose, which is a fully managed service that can automatically handle the data collection, data transformation, encryption, and data storage in near-real time. Kinesis Data Firehose can automatically store the data in Amazon S3 in Apache Parquet format for further processing. Additionally, it allows you to create an Amazon Kinesis Data Analytics application to analyze the data in near real-time, with no need to manage any infrastructure or invoke any Lambda function. This way you can process a large amount of data with the least operational overhead.
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