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Amazon SAA-C03 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Design Cost-Optimized Architectures | 20% | - Design cost-optimized compute solutions
- 1. Right-sizing instances
- 2. AWS Lambda pricing model
- 3. Auto Scaling for cost optimization
- 4. EC2 purchasing options (On-Demand, Reserved, Spot, Savings Plans)
- 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 database solutions
- 1. ElastiCache for caching
- 2. RDS Reserved Instances
- 3. DynamoDB capacity modes (On-demand vs Provisioned)
- 4. Aurora Serverless
- Design cost-optimized network architectures
- 1. CloudFront to reduce origin load
- 2. AWS Direct Connect for cost optimization
- 3. VPC endpoints to reduce NAT costs
- 4. Data transfer costs
|
| Design Resilient Architectures | 26% | - Design highly available and/or fault-tolerant architectures
- 1. Multi-AZ deployments
- 2. AWS Global Accelerator
- 3. Amazon Route 53 routing policies
- 4. Disaster recovery strategies (backup/restore, pilot light, warm standby, multi-site)
- 5. Multi-Region architectures
- Design scalable and loosely coupled architectures
- 1. Amazon API Gateway
- 2. Auto Scaling groups
- 3. Amazon EventBridge
- 4. Amazon SQS and SNS
- 5. Elastic Load Balancing
|
| Design Secure Architectures | 30% | - Design secure workloads and applications
- 1. Encryption at rest and in transit
- 2. Security groups and NACLs
- 3. AWS KMS and CloudHSM
- 4. AWS WAF and Shield
- Determine appropriate data security controls
- 1. Amazon Macie and GuardDuty
- 2. Data backup and recovery
- 3. Data classification
- 4. Data encryption strategies
- Design secure access to AWS resources
- 1. AWS Organizations and SCPs
- 2. Identity federation
- 3. Multi-factor authentication (MFA)
- 4. IAM policies and roles
|
| Design High-Performing Architectures | 24% | - Determine high-performing data ingestion and transformation solutions
- 1. AWS Glue
- 2. Amazon MSK
- 3. Amazon Kinesis
- 4. AWS Data Pipeline
- Design high-performing and elastic compute solutions
- 1. Amazon ECS and EKS
- 2. Amazon EC2 instance types and families
- 3. AWS Lambda
- 4. AWS Elastic Beanstalk
- Determine high-performing and/or scalable storage solutions
- 1. Instance Store
- 2. Amazon FSx
- 3. Amazon EBS volume types
- 4. Amazon EFS
- 5. Amazon S3 storage classes and lifecycle policies
- Determine high-performing database solutions
- 1. Amazon Redshift
- 2. Amazon DynamoDB
- 3. Amazon RDS and Aurora
- 4. Amazon ElastiCache (Redis/Memcached)
- Determine high-performing and/or scalable network architectures
- 1. Amazon Route 53
- 2. AWS Global Accelerator
- 3. VPC endpoints
- 4. Amazon CloudFront
- 5. AWS Direct Connect
|
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最新的 AWS Certified Solutions Architect SAA-C03 免費考試真題 (Q815-Q820):
問題 #815
A company wants to analyze and generate reports to track the usage of its mobile app. The app is popular and has a global user base The company uses a custom report building program to analyze application usage.
The program generates multiple reports during the last week of each month. The program takes less than 10 minutes to produce each report. The company rarely uses the program to generate reports outside of the last week of each month. The company wants to generate reports in the least amount of time when the reports are requested.
Which solution will meet these requirements MOST cost-effectively?
- A. Run the program in Amazon Elastic Container Service (Amazon ECS). Schedule Amazon ECS to run the program when reports are requested.
- B. Run the program in AWS Lambda. Create an Amazon EventBridge rule to run a Lambda function when reports are requested.
- C. Run the program by using Amazon EC2 Spot Instances. Create an Amazon EventBridge rule to start the EC2 instances when reports are requested. Run the EC2 instances continuously during the last week of each month.
- D. Run the program by using Amazon EC2 On-Demand Instances. Create an Amazon EventBridge rule to start the EC2 instances when reports are requested. Run the EC2 instances continuously during the last week of each month.
答案:B
解題說明:
This solution meets the requirements most cost-effectively because it leverages the serverless and event-driven capabilities of AWS Lambda and Amazon EventBridge. AWS Lambda allows you to run code without provisioning or managing servers, and you pay only for the compute time you consume. Amazon EventBridge is a serverless event bus service that lets you connect your applications with data from various sources and routes that data to targets such as AWS Lambda. By using Amazon EventBridge, you can create a rule that triggers a Lambda function to run the program when reports are requested, and you can also schedule the rule to run during the last week of each month. This way, you can generate reports in the least amount of time and pay only for the resources you use.
References:
AWS Lambda
Amazon EventBridge
問題 #816
A company's containerized application runs on an Amazon EC2 instance. The application needs to download security certificates before it can communicate with other business applications. The company wants a highly secure solution to encrypt and decrypt the certificates in near real time. The solution also needs to store data in highly available storage after the data is encrypted.
Which solution will meet these requirements with the LEAST operational overhead?
- A. Create an AWS Key Management Service (AWS KMS) customer managed key. Allow the EC2 role to use the KMS key for encryption operations. Store the encrypted data on Amazon Elastic Block Store (Amazon EBS) volumes.
- B. Create AWS Secrets Manager secrets for encrypted certificates. Manually update the certificates as needed. Control access to the data by using fine-grained IAM access.
- C. Create an AWS Key Management Service (AWS KMS) customer managed key. Allow the EC2 role to use the KMS key for encryption operations. Store the encrypted data on Amazon S3.
- D. Create an AWS Lambda function that uses the Python cryptography library to receive and perform encryption operations. Store the function in an Amazon S3 bucket.
答案:A
問題 #817
A company's solutions architect is designing an AWS multi-account solution that uses AWS Organizations.
The solutions architect has organized the company's accounts into organizational units (OUs).
The solutions architect needs a solution that will identify any changes to the OU hierarchy. The solution also needs to notify the company's operations team of any changes.
Which solution will meet these requirements with the LEAST operational overhead?
- A. Use AWS Service Catalog to create accounts in Organizations. Use an AWS CloudTrail organization trail to identify the changes to the OU hierarchy.
- B. Use AWS CloudFormation templates to create accounts in Organizations. Use the drift detection operation on a stack to identify the changes to the OU hierarchy.
- C. Provision the AWS accounts by using AWS Control Tower. Use AWS Config aggregated rules to identify the changes to the OU hierarchy.
- D. Provision the AWS accounts by using AWS Control Tower. Use account drift notifications to Identify the changes to the OU hierarchy.
答案:D
解題說明:
* Understanding the Requirement: The company needs to monitor and notify changes to the OU hierarchy with minimal operational overhead.
* Analysis of Options:
* AWS Control Tower with Account Drift Notifications: AWS Control Tower provides automated account provisioning and governance, including drift detection and notifications for changes in the OU hierarchy.
* AWS Control Tower with AWS Config: AWS Config provides resource configuration tracking but is more complex compared to drift notifications directly available in Control Tower.
* AWS Service Catalog with CloudTrail: While CloudTrail tracks changes, setting up notification mechanisms involves more operational overhead.
* AWS CloudFormation with Drift Detection: Suitable for tracking configuration changes but less efficient for monitoring OU hierarchy changes compared to Control Tower's built-in features.
* Best Solution:
* AWS Control Tower with Account Drift Notifications: Provides a streamlined and efficient way to detect and notify changes in the OU hierarchy with minimal operational overhead.
References:
* AWS Control Tower
* AWS Control Tower Drift Detection
問題 #818
A company has a large data workload that runs for 6 hours each day. The company cannot lose any data while the process is running. A solutions architect is designing an Amazon EMR cluster configuration to support this critical data workload. Which solution will meet these requirements MOST cost-effectively?
- A. Configure a transient cluster that runs the primary node on an On-Demand Instance and the core nodes and task nodes on Spot Instances.
- B. Configure a long-running cluster that runs the primary node on an On-Demand Instance, the core nodes on Spot Instances, and the task nodes on Spot Instances.
- C. Configure a long-running cluster that runs the primary node and core nodes on On-Demand Instances and the task nodes on Spot Instances.
- D. Configure a transient cluster that runs the primary node and core nodes on On-Demand Instances and the task nodes on Spot Instances.
答案:D
解題說明:
For cost-effectiveness and high availability in Amazon EMR workloads, the best approach is to configure atransient cluster(which runs for the duration of the job and then terminates) withOn- Demand Instancesfor the primary and core nodes, andSpot Instancesfor the task nodes. Here's why:
Primary and core nodes on On-Demand Instances: These nodes are critical because they manage the cluster and store data on HDFS. Running them on On-Demand Instances ensures stability and that no data is lost, as Spot Instances can be interrupted.
Task nodes on Spot Instances: Task nodes handle additional processing and can be used with Spot Instances to reduce costs. Spot Instances are much cheaper but can be interrupted, which is fine for non-critical tasks as the framework can handle retries.
Atransient clusteris more cost-effective than a long-running cluster for workloads that only run for
6 hours a day. Transient clusters automatically terminate after the workload completes, saving costs by not keeping the cluster running when it's not needed.
Option A: A long-running cluster may result in unnecessary costs when the cluster isn't being used.
Option C: Running core nodes on Spot Instances risks data loss if the Spot Instances are interrupted, violating the requirement for zero data loss.
Option D: Running both core and task nodes on Spot Instances is highly risky for data-critical workloads.
問題 #819
A medical company wants to perform transformations on a large amount of clinical trial data that comes from several customers. The company must extract the data from a relational databasethatcontains the customer dat a. Then the company will transform the data by using a series of complex rules. The company will load the data to Amazon S3 when the transformations are complete.
All data must be encrypted where it is processed before the company stores the data in Amazon S3. All data must be encrypted by using customer-specific keys.
Which solution will meet these requirements with the LEAST amount of operational effort?
- A. Create one Amazon EMR cluster for each customer Attach a security configuration to each cluster that uses client-side encryption with a custom client-side root key (CSE-Custom) to encrypt the data.
- B. Create one AWS Glue job for each customer Attach a security configuration to each job that uses client-side encryption with AWS KMS managed keys (CSE-KMS) to encrypt the data.
- C. Create one AWS Glue job for each customer Attach a security configuration to each job that uses server-side encryption with Amazon S3 managed keys (SSE-S3) to encrypt the data.
- D. Create one Amazon EMR cluster for each customer Attach a security configuration to each cluster that uses server-side encryption with AWS KMS keys (SSE-KMS) to encrypt the data.
答案:B
解題說明:
AWS Glue jobs are designed for extract, transform, and load (ETL) operations, which are perfect for transforming clinical trial data. AWS Glue integrates with AWS Key Management Service (KMS), allowing for customer-specific encryption keys, fulfilling the encryption requirement with minimal operational effort. Client-side encryption with AWS KMS ensures that the data is encrypted before it is sent to S3, aligning with the security needs specified in the scenario.
Key aspects:
AWS Glue: This managed ETL service simplifies data transformation, reduces operational overhead, and integrates seamlessly with KMS.
CSE-KMS: Client-side encryption with KMS ensures that the data is encrypted with customer-specific keys before it is processed or stored in S3, offering robust security.
Minimal Operational Overhead: Compared to managing an EMR cluster, AWS Glue automates much of the process, making it a lower-effort solution.
AWS Documentation: According to the AWS Well-Architected Framework, encryption with AWS KMS offers strong security controls that meet the needs of industries requiring high levels of confidentiality.
問題 #820
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