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| Section | Weight | Objectives |
|---|
| Topic 1: Design High-Performing Architectures | 24% | - Determine high-performing data ingestion and transformation solutions
- 1. Amazon Kinesis
- 2. AWS Data Pipeline
- 3. AWS Glue
- 4. Amazon MSK
- Determine high-performing database solutions
- 1. Amazon RDS and Aurora
- 2. Amazon ElastiCache (Redis/Memcached)
- 3. Amazon DynamoDB
- 4. Amazon Redshift
- Design high-performing and elastic compute solutions
- 1. Amazon EC2 instance types and families
- 2. Amazon ECS and EKS
- 3. AWS Lambda
- 4. AWS Elastic Beanstalk
- Determine high-performing and/or scalable storage solutions
- 1. Amazon S3 storage classes and lifecycle policies
- 2. Amazon EFS
- 3. Instance Store
- 4. Amazon FSx
- 5. Amazon EBS volume types
- Determine high-performing and/or scalable network architectures
- 1. VPC endpoints
- 2. AWS Direct Connect
- 3. Amazon Route 53
- 4. AWS Global Accelerator
- 5. Amazon CloudFront
|
| Topic 2: Design Secure Architectures | 30% | - Determine appropriate data security controls
- 1. Amazon Macie and GuardDuty
- 2. Data encryption strategies
- 3. Data backup and recovery
- 4. Data classification
- Design secure workloads and applications
- 1. AWS KMS and CloudHSM
- 2. AWS WAF and Shield
- 3. Security groups and NACLs
- 4. Encryption at rest and in transit
- Design secure access to AWS resources
- 1. IAM policies and roles
- 2. Multi-factor authentication (MFA)
- 3. Identity federation
- 4. AWS Organizations and SCPs
|
| Topic 3: Design Resilient Architectures | 26% | - Design highly available and/or fault-tolerant architectures
- 1. Multi-AZ deployments
- 2. Multi-Region architectures
- 3. Disaster recovery strategies (backup/restore, pilot light, warm standby, multi-site)
- 4. AWS Global Accelerator
- 5. Amazon Route 53 routing policies
- Design scalable and loosely coupled architectures
- 1. Auto Scaling groups
- 2. Amazon EventBridge
- 3. Elastic Load Balancing
- 4. Amazon API Gateway
- 5. Amazon SQS and SNS
|
| Topic 4: Design Cost-Optimized Architectures | 20% | - Design cost-optimized network architectures
- 1. VPC endpoints to reduce NAT costs
- 2. Data transfer costs
- 3. AWS Direct Connect for cost optimization
- 4. CloudFront to reduce origin load
- Design cost-optimized database solutions
- 1. DynamoDB capacity modes (On-demand vs Provisioned)
- 2. RDS Reserved Instances
- 3. Aurora Serverless
- 4. ElastiCache for caching
- Design cost-optimized storage solutions
- 1. EFS cost optimization
- 2. EBS volume type selection
- 3. S3 storage classes and lifecycle policies
- 4. S3 Intelligent-Tiering
- Design cost-optimized compute solutions
- 1. EC2 purchasing options (On-Demand, Reserved, Spot, Savings Plans)
- 2. Right-sizing instances
- 3. AWS Lambda pricing model
- 4. Auto Scaling for cost optimization
|
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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q158-Q163):
NEW QUESTION # 158
A data analytics company wants to migrate its batch processing system to AWS. The company receives thousands of small data files periodically during the day through FTP. A on-premises batch job processes the data files overnight. However, the batch job takes hours to finish running.
The company wants the AWS solution to process incoming data files are possible with minimal changes to the FTP clients that send the files. The solution must delete the incoming data files the files have been processed successfully. Processing for each file needs to take 3-8 minutes.
Which solution will meet these requirements in the MOST operationally efficient way?
- A. Use an Amazon EC2 instance that runs an FTP server to store incoming files on an Amazon Elastic Block Store (Amazon EBS) volume. Configure a job queue in AWS Batch. Use Amazon EventBridge rules to invoke the process the files nightly from the EBS volume. Delete the files after the job has processed the files.
- B. Use an Amazon EC2 instance that runs an FTP server to store incoming files as objects in Amazon S3 Glacier Flexible Retrieval. Configure a job queue in AWS Batch. Use Amazon EventBridge rules to invoke the job to process the objects nightly from S3 Glacier Flexible Retrieval. Delete the objects after the job has processed the objects.
- C. Use AWS Transfer Family to create an FTP server to store incoming files on an Amazon Elastic Block Store (Amazon EBS) volume. Configure a job queue in AWS Batch. Use an Amazon S3 event notification when each files arrives to invoke the job in AWS Batch. Delete the files after the job has processed the files.
- D. Use AWS Transfer Family to create an FTP server to store incoming files in Amazon S3 Standard.
Create an AWS Lambda function to process the files and to delete the files after they are proessed.yse an S3 event notification to invoke the lambda function when the fils arrive
Answer: D
Explanation:
This option is the most operationally efficient because it uses AWS Transfer Family to create an FTP server that can store incoming files in Amazon S3 Standard12, which is a low-cost and highly available storage service. It also uses AWS Lambda to process the files and delete them after they are processed, which is a serverless and scalable solution that does not require any batch scheduling or infrastructure management. It also uses S3 event notifications to invoke the Lambda function when the files arrive, which enables near real- time processing of the incoming data files3. Option A is less efficient because it uses Amazon S3 Glacier Flexible Retrieval, which is a cold storage class that has higher retrieval costs and longer retrieval times than Amazon S3 Standard. It also uses EventBridge rules to invoke the job nightly, which does notmeet the requirement of processing incoming data files as soon as possible. Option B is less efficient because it uses an EBS volume to store incoming files, which is a block storage service that has higher costs and lower durability than Amazon S3. It also uses EventBridge rules to invoke the job nightly, which does not meet the requirement of processing incoming data files as soon as possible. Option C is less efficient because it uses an EBS volume to store incoming files, which is a block storage service that has higher costs and lower durability than Amazon S3. It also uses AWS Batch to process the files, which requires managing compute resources and job queues.
NEW QUESTION # 159
[Design High-Performing Architectures]
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 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.
- B. 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.
- C. 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.
- D. 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.
Answer: C
Explanation:
https://docs.aws.amazon.com/secretsmanager/latest/userguide/create_database_secret.html
NEW QUESTION # 160
A company has a web application lhat is based on Java and PHP The company plans to move the application from on premises to AWS The company needs the ability to test new site features trequenlty. The company also needs a highly available and managed solution that requires minimum operational overhead Which solution will meel these requirements?
- A. Deploy the web application lo Amazon EC2 instances that are configured with Java and PHP Use Auto Scaling groups and an Application Load Balancer to manage the website's availability
- B. Deploy the web application to an AWS Elastic Beanstalk environment Use URL swapping to switch between multiple Elastic Beanstalk environments for feature testing
- C. Containerize the web application Deploy the web application to Amazon EC2 instances Use the AWS Load Balancer Controller to dynamically route traffic between containers thai contain the new site features for testing
- D. Create an Amazon S3 bucket Enable static web hosting on the S3 bucket Upload the static content to the S3 bucket Use AWS Lambda to process all dynamic content
Answer: B
NEW QUESTION # 161
A company is building a new web application on AWS. The application needs to consume files from a legacy on-premises application that runs a batch process and outputs approximately 1 GB of data every night to an NFS file mount.
A solutions architect needs to design a storage solution that requires minimal changes to the legacy application and keeps costs low.
Which solution will meet these requirements MOST cost-effectively?
- A. Deploy an AWS Storage Gateway Volume Gateway on premises. Point the legacy application to the Volume Gateway. Configure the web application to use the Amazon S3 bucket that the Volume Gateway uses.
- B. Deploy an Amazon S3 interface endpoint on AWS. Reconfigure the legacy application to store the files directly on an Amazon S3 endpoint. Configure the web application to retrieve the files from Amazon S3.
- C. Deploy an Outpost in AWS Outposts to the on-premises location where the legacy application is stored. Configure the legacy application and the web application to store and retrieve the files in Amazon S3 on the Outpost.
- D. Deploy an Amazon S3 File Gateway on premises. Point the legacy application to the File Gateway. Configure the web application to retrieve the files from the S3 bucket that the File Gateway uses.
Answer: D
Explanation:
Amazon S3 File Gateway provides a local NFS mount point, which can be used with minimal changes by the legacy application. Files are transparently uploaded to Amazon S3, allowing the web application to access them directly from S3. This is the most cost-effective and operationally simple way to bridge legacy on-premises NFS output with S3, requiring no changes to the batch process.
AWS Documentation Extract:
"With S3 File Gateway, you can provide applications a local file interface to Amazon S3. S3 File Gateway presents a file-based interface (NFS or SMB), allowing you to use S3 as your scalable, durable storage while making files available to legacy applications." (Source: AWS Storage Gateway documentation) A: Outposts is far more costly and complex than needed.
B: Volume Gateway presents iSCSI block storage, not NFS.
C: Requires re-coding the legacy app to use S3 APIs, not NFS.
NEW QUESTION # 162
A company collects data from thousands of remote devices by using a RESTful web services application that runs on an Amazon EC2 instance. The EC2 instance receives the raw data, transforms the raw data, and stores all the data in an Amazon S3 bucket. The number of remote devices will increase into the millions soon. The company needs a highly scalable solution that minimizes operational overhead.
Which combination of steps should a solutions architect take to meet these requirements9 (Select TWO.)
- A. Add more EC2 instances to accommodate the increasing amount of incoming data.
- B. Use Amazon API Gateway to send the raw data to an Amazon Kinesis data stream. Configure Amazon Kinesis Data Firehose to use the data stream as a source to deliver the data to Amazon S3.
- C. Use Amazon Route 53 to route traffic to different EC2 instances.
- D. Send the raw data to Amazon Simple Queue Service (Amazon SOS). Use EC2 instances to process the data.
- E. Use AWS Glue to process the raw data in Amazon S3.
Answer: B,C
NEW QUESTION # 163
......
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