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Amazon SAA-C03 考試大綱：

主題 簡介
主題 1
  • Control ports, protocols, and network traffic on AWS
  • Design secure workloads and applications
主題 2
  • Design Resilient Architectures
  • Design high-performing and elastic compute solutions
主題 3
  • Design secure access to AWS resources
  • Design Secure Architectures
主題 4
  • Threat vectors external to AWS
  • AWS federated access and identity services
主題 5
  • Storage types with associated characteristics
  • Design High-Performing Architectures
主題 6
  • Determine high-performing data ingestion and transformation solutions
  • Determine high-performing and
  • or scalable storage solutions
主題 7
  • Design cost-optimized database solutions
  • Design cost-optimized storage solutions

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最新的 AWS Certified Solutions Architect SAA-C03 免費考試真題 (Q161-Q166):

問題 #161
A company is reviewing a recent migration of a three-tier application to a VPC. The security team discovers that the principle of least privilege is not being applied to Amazon EC2 security group ingress and egress rules between the application tiers.
What should a solutions architect do to correct this issue?

  • A. Create security group rules using the VPC CIDR blocks as the source or destination.
  • B. Create security group rules using the security group ID as the source or destination.
  • C. Create security group rules using the instance ID as the source or destination.
  • D. Create security group rules using the subnet CIDR blocks as the source or destination.

答案：B 解題說明：
Explanation
https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/security-group-rules.html
問題 #162
An application development team is designing a microservice that will convert large images to smaller, compressed images. When a user uploads an image through the web interface, the microservice should store the image in an Amazon S3 bucket, process and compress the image with an AWS Lambda function, and store the image in its compressed form in a different S3 bucket.
A solutions architect needs to design a solution that uses durable, stateless components to process the images automatically.
Which combination of actions will meet these requirements? (Choose two.)

  • A. Create an Amazon Simple Queue Service (Amazon SQS) queue Configure the S3 bucket to send a notification to the SQS queue when an image is uploaded to the S3 bucket
  • B. Configure an Amazon EventBridge (Amazon CloudWatch Events) event to monitor the S3 bucket When an image is uploaded. send an alert to an Amazon Simple Notification Service (Amazon SNS) topic with the application owner's email address for further processing
  • C. Configure the Lambda function to use the Amazon Simple Queue Service (Amazon SQS) queue as the invocation source When the SQS message is successfully processed, delete the message in the queue
  • D. Configure the Lambda function to monitor the S3 bucket for new uploads When an uploaded image is detected write the file name to a text file in memory and use the text file to keep track of the images that were processed
  • E. Launch an Amazon EC2 instance to monitor an Amazon Simple Queue Service (Amazon SQS) queue When items are added to the queue log the file name in a text file on the EC2 instance and invoke the Lambda function

答案：A,C 解題說明：
Creating an Amazon Simple Queue Service (SQS) queue and configuring the S3 bucket to send a notification to the SQS queue when an image is uploaded to the S3 bucket will ensure that the Lambda function is triggered in a stateless and durable manner.
Configuring the Lambda function to use the SQS queue as the invocation source, and deleting the message in the queue after it is successfully processed will ensure that the Lambda function processes the image in a stateless and durable manner.
Amazon SQS is a fully managed message queuing service that enables you to decouple and scale microservices, distributed systems, and serverless applications. SQS eliminates the complexity and overhead associated with managing and operating-message oriented middleware, and empowers developers to focus on differentiating work. When new images are uploaded to the S3 bucket, SQS will trigger the Lambda function to process the image and compress it. Once the image is processed, the SQS message is deleted, ensuring that the Lambda function is stateless and durable.
問題 #163
A Solutions Architect designed a real-time data analytics system based on Kinesis Data Stream and Lambda. A week after the system has been deployed, the users noticed that it performed slowly as the data rate increases. The Architect identified that the performance of the Kinesis Data Streams is causing this problem.
Which of the following should the Architect do to improve performance?

  • A. Improve the performance of the stream by decreasing the number of its shards using the MergeShard command.
  • B. Replace the data stream with Amazon Kinesis Data Firehose instead.
  • C. Increase the number of shards of the Kinesis stream by using the UpdateShardCount command.
  • D. Implement Step Scaling to the Kinesis Data Stream.

答案：C 解題說明：
Amazon Kinesis Data Streams supports resharding, which lets you adjust the number of shards in your stream to adapt to changes in the rate of data flow through the stream. Resharding is considered an advanced operation.
There are two types of resharding operations: shard split and shard merge. In a shard split, you divide a single shard into two shards. In a shard merge, you combine two shards into a single shard. Resharding is always pairwise in the sense that you cannot split into more than two shards in a single operation, and you cannot merge more than two shards in a single operation. The shard or pair of shards that the resharding operation acts on are referred to as parent shards. The shard or pair of shards that result from the resharding operation are referred to as child shards.

Splitting increases the number of shards in your stream and therefore increases the data capacity of the stream. Because you are charged on a per-shard basis, splitting increases the cost of your stream.
Similarly, merging reduces the number of shards in your stream and therefore decreases the data capacity-and cost-of the stream.
If your data rate increases, you can also increase the number of shards allocated to your stream to maintain the application performance. You can reshard your stream using the UpdateShardCount API.
The throughput of an Amazon Kinesis data stream is designed to scale without limits via increasing the number of shards within a data stream. Hence, the correct answer is to increase the number of shards of the Kinesis stream by using the UpdateShardCount command.
Replacing the data stream with Amazon Kinesis Data Firehose instead is incorrect because the throughput of Kinesis Firehose is not exceptionally higher than Kinesis Data Streams. In fact, the throughput of an Amazon Kinesis data stream is designed to scale without limits via increasing the number of shards within a data stream.
Improving the performance of the stream by decreasing the number of its shards using the MergeShard command is incorrect because merging the shards will effectively decrease the performance of the stream rather than improve it.
Implementing Step Scaling to the Kinesis Data Stream is incorrect because there is no Step Scaling feature for Kinesis Data Streams. This is only applicable for EC2. References:
https://aws.amazon.com/blogs/big-data/scale-your-amazon-kinesis-stream-capacity-with-updateshardco unt/
https://aws.amazon.com/kinesis/data-streams/faqs/
https://docs.aws.amazon.com/streams/latest/dev/kinesis-using-sdk-java-resharding.html Check out this Amazon Kinesis Cheat Sheet:
https://tutorialsdojo.com/amazon-kinesis/
問題 #164
A company runs a high performance computing (HPC) workload on AWS. The workload required low-latency network performance and high network throughput with tightly coupled node-to-node communication. The Amazon EC2 instances are properly sized for compute and storage capacity, and are launched using default options.
What should a solutions architect propose to improve the performance of the workload?

  • A. Choose an Elastic Inference accelerator while launching Amazon EC2 instances.
  • B. Choose dedicated instance tenancy while launching Amazon EC2 instances.
  • C. Choose a cluster placement group while launching Amazon EC2 instances.
  • D. Choose the required capacity reservation while launching Amazon EC2 instances.

答案：C 解題說明：
Explanation
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-ec2-placementgroup.html
"A cluster placement group is a logical grouping of instances within a single Availability Zone that benefit from low network latency, high network throughput"
問題 #165
A company is preparing to store confidential data in Amazon S3 For compliance reasons the data must be encrypted at rest Encryption key usage must be logged tor auditing purposes. Keys must be rotated every year.
Which solution meets these requirements and «the MOST operationally efferent?

  • A. Server-side encryption with AWS KMS (SSE-KMS) customer master keys (CMKs) with automate rotation
  • B. Server-side encryption with customer-provided keys (SSE-C)
  • C. Server-side encryption with Amazon S3 managed keys (SSE-S3)
  • D. Server-side encryption with AWS KMS (SSE-KMS) customer master keys (CMKs) with manual rotation

答案：A 解題說明：
https://docs.aws.amazon.com/kms/latest/developerguide/rotate-keys.html
When you enable automatic key rotation for a customer managed key, AWS KMS generates new cryptographic material for the KMS key every year. AWS KMS also saves the KMS key's older cryptographic material in perpetuity so it can be used to decrypt data that the KMS key encrypted.
Key rotation in AWS KMS is a cryptographic best practice that is designed to be transparent and easy to use. AWS KMS supports optional automatic key rotation only for customer managed CMKs. Enable and disable key rotation. Automatic key rotation is disabled by default on customer managed CMKs. When you enable (or re-enable) key rotation, AWS KMS automatically rotates the CMK 365 days after the enable date and every 365 days thereafter.
問題 #166
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