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| Section | Weight | Objectives |
|---|
| Design Secure Architectures | 30% | - Secure workloads and applications
- 1. Security groups and NACLs
- 2. Data protection using KMS
- Secure access to AWS resources
- 1. AWS STS and temporary credentials
- 2. Encryption in transit and at rest
- 3. IAM users, roles, and policies
|
| Design Cost-Optimized Architectures | 20% | - Cost management tools
- 1. Budgets and billing alarms
- 2. AWS Cost Explorer
- Cost-effective resource selection
- 1. Storage class optimization in S3
- 2. Right-sizing EC2 instances
|
| Design High-Performing Architectures | 24% | - Compute and storage optimization
- 1. S3 performance features
- 2. EC2 instance selection
- Performance scaling
- 1. Caching with CloudFront and ElastiCache
- 2. Load balancing with ELB
|
| Design Resilient Architectures | 26% | - Fault tolerance and recovery
- 1. Backup and restore strategies
- 2. Disaster recovery approaches
- Highly available architecture
- 1. Auto Scaling groups
- 2. Multi-AZ deployments
|
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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q440-Q445):
NEW QUESTION # 440
A 4-year-old media company is using the AWS Organizations all features feature set fo organize its AWS accounts. According to he company's finance team, the billing information on the member accounts must not be accessible to anyone, including the root user of the member accounts.
Which solution will meet these requirements?
- A. Convert from the Organizations all features feature set to the Organizations consolidated billing feature set.
- B. Attach an identity-based policy to deny access to the billing information to all users, including the root user.
- C. Create a service control policy (SCP) to deny access to the billing information. Attach the SCP to the root organizational unit (OU).
- D. Add all finance team users to an IAM group. Attach an AWS managed policy named Billing to the group.
Answer: C
Explanation:
Service Control Policies (SCP): SCPs are an integral part of AWS Organizations and allow you to set fine-grained permissions on the organizational units (OUs) within your AWS Organization. SCPs provide central control over the maximum permissions that can be granted to member accounts, including the root user. Denying Access to Billing Information: By creating an SCP and attaching it to the root OU, you can explicitly deny access to billing information for all accounts within the organization. SCPs can be used to restrict access to various AWS services and actions, including billing-related services. Granular Control: SCPs enable you to define specific permissions and restrictions at the organizational unit level. By denying access to billing information at the root OU, you can ensure that no member accounts, including root users, have access to the billing information.
NEW QUESTION # 441
A company needs to store its accounting records in Amazon S3. The records must be immediately accessible for 1 year and then must be archived for an additional 9 years. No one at the company, including administrative users and root users, can be able to delete the records during the entire 10-year period. The records must be stored with maximum resiliency.
Which solution will meet these requirements?
- A. Use an S3 Lifecycle policy to transition the records from S3 Standard to S3 One Zone-Infrequent Access (S3 One Zone-IA) after 1 year. Use S3 Object Lock in governance mode for a period of 10 years.
- B. Store the records in S3 Glacier for the entire 10-year period. Use an access control policy to deny deletion of the records for a period of 10 years.
- C. Store the records by using S3 Intelligent-Tiering. Use an IAM policy to deny deletion of the records. After 10 years, change the IAM policy to allow deletion.
- D. Use an S3 Lifecycle policy to transition the records from S3 Standard to S3 Glacier Deep Archive after 1 year. Use S3 Object Lock in compliance mode for a period of 10 years.
Answer: D
NEW QUESTION # 442
A company has an application that processes customer orders. The company hosts the application on an Amazon EC2 instance that saves the orders to an Amazon Aurora database. Occasionally when traffic is high: the workload does not process orders fast enough.
What should a solutions architect do to write the orders reliably to the database as quickly as possible?
- A. Write orders to an Amazon Simple Queue Service (Amazon SQS) queue. Use EC2 instances in an Auto Scaling group behind an Application Load Balancer to read from the SQS queue and process orders into the database.
- B. Write orders to an Amazon Simple Queue Service (Amazon SQS) queue when the EC2 instance reaches CPU threshold limits. Use scheduled scaling of EC2 instances in an Auto Scaling group behind an Application Load Balancer to read from the SQS queue and process orders into the database
- C. Increase the instance size of the EC2 instance when traffic is high. Write orders to Amazon Simple Notification Service (Amazon SNS). Subscribe the database endpoint to the SNS topic.
- D. Write orders to Amazon Simple Notification Service (Amazon SNS) Subscribe the database endpoint to the SNS topic Use EC2 instances in an Auto Scaling group behind an Application Load Balancer to read from the SNS topic.
Answer: A
Explanation:
Amazon SQS is a fully managed message queuing service that can decouple and scale microservices, distributed systems, and serverless applications. By writing orders to an SQS queue, the application can handle spikes in traffic without losing any orders. The EC2 instances in an Auto Scaling group can read from the SQS queue and process orders into the database at a steady pace. The Application Load Balancer can distribute the load across the EC2 instances and provide health checks. This solution meets all the requirements of the question, while the other options do not. Reference:
https://docs.aws.amazon.com/wellarchitected/latest/reliability-pillar/welcome.html
https://aws.amazon.com/architecture/serverless/
https://aws.amazon.com/sqs/
NEW QUESTION # 443
An ecommerce company runs Its application on AWS. The application uses an Amazon Aurora PostgreSQL cluster in Multi-AZ mode for the underlying database. During a recent promotional campaign, the application experienced heavy read load and write load. Users experienced timeout issues when they attempted to access the application.
A solutions architect needs to make the application architecture more scalable and highly available.
Which solution will meet these requirements with the LEAST downtime?
- A. Create an Amazon EventBndge rule that has the Aurora cluster as a source. Create an AWS Lambda function to log the state change events of the Aurora cluster. Add the Lambda function as a target for the EventBndge rule Add additional reader nodes to fail over to.
- B. Modify the Aurora cluster and activate the zero-downtime restart (ZDR) feature. Use Database Activity Streams on the cluster to track the cluster status.
- C. Create an Amazon ElastiCache for Redis cache. Replicate data from the Aurora cluster to Redis by using AWS Database Migration Service (AWS DMS) with a write-around approach.
- D. Add additional reader instances to the Aurora cluster Create an Amazon RDS Proxy target group for the Aurora cluster.
Answer: D
Explanation:
This solution directly addresses the scalability and high availability requirements with minimal downtime.
* Additional Reader Instances: Adding more reader instances to the Aurora cluster will distribute the read load, improving the performance of the application under heavy read traffic. Aurora reader instances automatically replicate the data from the writer instance, enabling you to scale out read operations.
* Amazon RDS Proxy: RDS Proxy improves database availability by managing database connections more efficiently and providing a connection pool. This reduces the overhead on the Aurora cluster during peak loads, further enhancing performance and availability without requiring changes to the application code.
* Why Not Other Options?:
* Option A (EventBridge and Lambda): This doesn't directly address the performance and availability issues. Logging state changes and adding reader nodes on failure events doesn't provide proactive scalability.
* Option B (Zero-Downtime Restart and Activity Streams): Zero-Downtime Restart (ZDR) is useful for minimizing downtime during maintenance but doesn't directly improve scalability.
Database Activity Streams are more for security monitoring than for performance enhancement.
* Option D (ElastiCache for Redis): While adding a caching layer can help with read performance, it introduces complexity and may not be necessary if additional reader instances can handle the load.
AWS References:
* Amazon Aurora Scaling - Information on scaling Aurora clusters with reader instances.
* Amazon RDS Proxy - Details on how RDS Proxy can improve database performance and availability.
NEW QUESTION # 444
A company is deploying a new application on Amazon EC2 instances. The application writes data to Amazon Elastic Block Store (Amazon EBS) volumes. The company needs to ensure that all data that is written to the EBS volumes is encrypted at rest.
Which solution will meet this requirement?
- A. Create an AWS Key Management Service (AWS KMS) key policy that enforces EBS encryption in the account. Ensure that the key policy is active
- B. Create an EC2 instance tag that has a key of Encrypt and a value of True. Tag all instances that require encryption at the EBS level.
- C. Create the EBS volumes as encrypted volumes. Attach the EBS volumes to the EC2 instances
- D. Create an 1AM role that specifies EBS encryption. Attach the role to the EC2 instances.
Answer: C
Explanation:
The solution that will meet the requirement of ensuring that all data that is written to the EBS volumes is encrypted at rest is B. Create the EBS volumes as encrypted volumes and attach the encrypted EBS volumes to the EC2 instances. When you create an EBS volume, you can specify whether to encrypt the volume. If you choose to encrypt the volume, all data written to the volume is automatically encrypted at rest using AWS-managed keys. You can also use customer-managed keys (CMKs) stored in AWS KMS to encrypt and protect your EBS volumes. You can create encrypted EBS volumes and attach them to EC2 instances to ensure that all data written to the volumes is encrypted at rest.
NEW QUESTION # 445
......
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