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Amazon SAA-C03 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Design Cost-Optimized Architectures | 20% | - Cost management tools
- 1. AWS Cost Explorer
- 2. Budgets and billing alarms
- Cost-effective resource selection
- 1. Storage class optimization in S3
- 2. Right-sizing EC2 instances
|
| Design Resilient Architectures | 26% | - Highly available architecture
- 1. Multi-AZ deployments
- 2. Auto Scaling groups
- Fault tolerance and recovery
- 1. Disaster recovery approaches
- 2. Backup and restore strategies
|
| Design High-Performing Architectures | 24% | - Performance scaling
- 1. Caching with CloudFront and ElastiCache
- 2. Load balancing with ELB
- Compute and storage optimization
- 1. EC2 instance selection
- 2. S3 performance features
|
| Design Secure Architectures | 30% | - Secure workloads and applications
- 1. Security groups and NACLs
- 2. Data protection using KMS
- Secure access to AWS resources
- 1. Encryption in transit and at rest
- 2. IAM users, roles, and policies
- 3. AWS STS and temporary credentials
|
>> Amazon SAA-C03資格試験 <<
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Amazon AWS Certified Solutions Architect - Associate 認定 SAA-C03 試験問題 (Q175-Q180):
質問 # 175
A company produces batch data that comes from different databases. The company also produces live stream data from network sensors and application APIs. The company needs to consolidate all the data into one place for business analytics. The company needs to process the incoming data and then stage the data in different Amazon S3 buckets. Teams will later run one-time queries and import the data into a business intelligence tool to show key performance indicators (KPIs).
Which combination of steps will meet these requirements with the LEAST operational overhead? (Choose two.)
- A. Create custom AWS Lambda functions to move the individual records from me databases to an Amazon Redshift duster
- B. Use Amazon Kinesis Data Analytics for one-time queries Use Amazon QuickSight to create dashboards for KPIs
- C. Use an AWS Glue extract transform, and toad (ETL) job to convert the data into JSON format Load the data into multiple Amazon OpenSearch Service (Amazon Elasticsearch Service) dusters
- D. Use Amazon Athena foe one-time queries Use Amazon QuickSight to create dashboards for KPIs
- E. Use blueprints in AWS Lake Formation to identify the data that can be ingested into a data lake Use AWS Glue to crawl the source extract the data and load the data into Amazon S3 in Apache Parquet format
正解:A、E
質問 # 176
A solutions architect is designing the cloud architecture for a new application being deployed on AWS. The process should run in parallel while adding and removing application nodes as needed based on the number of jobs to be processed. The processor application is stateless. The solutions architect must ensure that the application is loosely coupled and the job items are durably stored. Which design should the solutions architect use?
- A. Create an Amazon SNS topic to send the jobs that need to be processed.
Create an Amazon Machine Image (AMI) that consists of the processor application.
Create a launch configuration that uses the AMI.
Create an Auto Scaling group using the launch configuration.
Set the scaling policy for the Auto Scaling group to add and remove nodes based on CPU usage. - B. Create an Amazon SQS queue to hold the jobs that need to be processed.
Create an Amazon Machine image (AMI) that consists of the processor application.
Create a launch configuration that uses the AMI.
Create an Auto Scaling group using the launch configuration.
Set the scaling policy for the Auto Scaling group to add and remove nodes based on network usage. - C. Create an Amazon SQS queue to hold the jobs that needs to be processed.
Create an Amazon Machine image (AMI) that consists of the processor application.
Create a launch template that uses the AMI.
Create an Auto Scaling group using the launch template.
Set the scaling policy for the Auto Scaling group to add and remove nodes based on the number of items in the SQS queue. - D. Create an Amazon SNS topic to send the jobs that need to be processed.
Create an Amazon Machine Image (AMI) that consists of the processor application.
Create a launch template that uses the AMI.Create an Auto Scaling group using the launch template.Set the scaling policy for the Auto Scaling group to add and remove nodes based on the number of messages published to the SNS topic
正解:C
解説:
"Create an Amazon SQS queue to hold the jobs that needs to be processed. Create an Amazon EC2 Auto Scaling group for the compute application. Set the scaling policy for the Auto Scaling group to add and remove nodes based on the number of items in the SQS queue" In this case we need to find a durable and loosely coupled solution for storing jobs. Amazon SQS is ideal for this use case and can be configured to use dynamic scaling based on the number of jobs waiting in the queue.To configure this scaling you can use the backlog per instance metric with the target value being the acceptable backlog per instance to maintain. You can calculate these numbers as follows: Backlog per instance: To calculate your backlog per instance, start with the ApproximateNumberOfMessages queue attribute to determine the length of the SQS queue
質問 # 177
A company is implementing a new application on AWS. The company will run the application on multiple Amazon EC2 instances across multiple Availability Zones within multiple AWS Regions. The application will be available through the internet. Users will access the application from around the world.
The company wants to ensure that each user who accesses the application is sent to the EC2 instances that are closest to the user's location.
Which solution will meet these requirements?
- A. Implement an Amazon Route 53 weighted routing policy. Use an internet-facing Network Load Balancer to distribute the traffic across all Availability Zones within the same Region.
- B. Implement an Amazon Route 53 geolocation routing policy. Use an internet-facing Application Load Balancer to distribute the traffic across all Availability Zones within the same Region.
- C. Implement an Amazon Route 53 geoproximity routing policy. Use an internet-facing Network Load Balancer to distribute the traffic across all Availability Zones within the same Region.
- D. Implement an Amazon Route 53 multivalue answer routing policy Use an internet-facing Application Load Balancer to distribute the traffic across all Availability Zones within the same Region.
正解:B
解説:
The requirement is to route users to the nearest AWS Region where the application is deployed. The best solution is to use Amazon Route 53 with a geolocation routing policy, which routes traffic based on the geographic location of the user making the request.
Geolocation Routing: This routing policy ensures that users are directed to the resources (in this case, EC2 instances) that are geographically closest to them, thereby reducing latency and improving the user experience.
Application Load Balancer (ALB): Within each Region, an internet-facing Application Load Balancer (ALB) is used to distribute incoming traffic across multiple EC2 instances in different Availability Zones. ALBs are designed to handle HTTP/HTTPS traffic and provide advanced features like content-based routing, SSL termination, and user authentication.
Why Not Other Options?:
Option B (Geoproximity + NLB): Geoproximity routing is similar but more complex as it requires fine-tuning the proximity settings. A Network Load Balancer (NLB) is better suited for TCP/UDP traffic rather than HTTP/HTTPS.
Option C (Multivalue Answer Routing + ALB): Multivalue answer routing does not direct traffic based on user location but rather returns multiple values and lets the client choose. This does not meet the requirement for geographically routing users.
Option D (Weighted Routing + NLB): Weighted routing splits traffic based on predefined weights and does not consider the user's geographic location. NLB is not ideal for this scenario due to its focus on lower-level protocols.
AWS References:
Amazon Route 53 Routing Policies- Detailed explanation of the various routing policies available in Route
53, including geolocation.
Elastic Load Balancing- Information on the different types of load balancers in AWS and when to use them.
質問 # 178
A company needs to transfer 600 TB of data from its on-premises network-attached storage (NAS) system to the AWS Cloud. The data transfer must be complete within 2 weeks. The data is sensitive and must be encrypted in transit. The company's internet connection can support an upload speed of 100 Mbps.
Which solution meets these requirements MOST cost-effectively?
- A. Create a VPN connection between the on-premises NAS system and the nearest AWS Region Transfer the data over the VPN connection
- B. Use the AWS Snow Family console to order several AWS Snowball Edge Storage Optimized devices Use the devices to transfer the data to Amazon S3.
- C. Use Amazon S3 multi-part upload functionality to transfer the fees over HTTPS
- D. Set up a 10 Gbps AWS Direct Connect connection between the company location and (he nearest AWS Region Transfer the data over a VPN connection into the Region to store the data in Amazon S3
正解:D
質問 # 179
A company is concerned about the security of its public web application due to recent web attacks. The application uses an Application Load Balancer (ALB). A solutions architect must reduce the risk of DDoS attacks against the application.
What should the solutions architect do to meet this requirement?
- A. Enable AWS Shield Advanced to prevent attacks.
- B. Add an Amazon Inspector agent to the ALB.
- C. Configure Amazon GuardDuty to monitor the ALB.
- D. Configure Amazon Macie to prevent attacks.
正解:A
解説:
Explanation
AWS Shield Advanced provides expanded DDoS attack protection for your Amazon EC2 instances, Elastic Load Balancing load balancers, CloudFront distributions, Route 53 hosted zones, and AWS Global Accelerator standard accelerators.
https://docs.aws.amazon.com/waf/latest/developerguide/what-is-aws-waf.html
質問 # 180
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