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最新的 AWS Certified Solutions Architect SAA-C03 免費考試真題 (Q411-Q416):

問題 #411
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. 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
• B. 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
• C. Deploy the web application to an AWS Elastic Beanstalk environment Use URL swapping to switch between multiple Elastic Beanstalk environments for feature testing
• D. 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

答案：C
問題 #412
A company is implementing new data retention policies for all databases that run on Amazon RDS DB instances. The company must retain daily backups for a minimum period of 2 years. The backups must be consistent and restorable.
Which solution should a solutions architect recommend to meet these requirements?

• A. Configure database transaction logs to be automatically backed up to Amazon CloudWatch Logs with an expiration period of 2 years.
• B. Create a backup vault in AWS Backup to retain RDS backups. Create a new backup plan with a daily schedule and an expiration period of 2 years after creation. Assign the RDS DB instances to the backup plan.
• C. Configure a backup window for the RDS DB instances for daily snapshots. Assign a snapshot retention policy of 2 years to each RDS DB instance. Use Amazon Data Lifecycle Manager (Amazon DLM) to schedule snapshot deletions.
• D. Configure an AWS Database Migration Service (AWS DMS) replication task. Deploy a replication instance, and configure a change data capture (CDC) task to stream database changes to Amazon S3 as the target. Configure S3 Lifecycle policies to delete the snapshots after 2 years.

答案：B
問題 #413
A company hosted a web application in an Auto Scaling group of EC2 instances. The IT manager is concerned about the over-provisioning of the resources that can cause higher operating costs. A Solutions Architect has been instructed to create a cost-effective solution without affecting the performance of the application.
Which dynamic scaling policy should be used to satisfy this requirement?

• A. Use suspend and resume scaling.
• B. Use scheduled scaling.
• C. Use simple scaling.
• D. Use target tracking scaling.

答案：D 解題說明：
An Auto Scaling group contains a collection of Amazon EC2 instances that are treated as a logical grouping for the purposes of automatic scaling and management. An Auto Scaling group also enables you to use Amazon EC2 Auto Scaling features such as health check replacements and scaling policies.
Both maintaining the number of instances in an Auto Scaling group and automatic scaling are the core functionality of the Amazon EC2 Auto Scaling service. The size of an Auto Scaling group depends on the number of instances that you set as the desired capacity. You can adjust its size to meet demand, either manually or by using automatic scaling.
Step scaling policies and simple scaling policies are two of the dynamic scaling options available for you to use. Both require you to create CloudWatch alarms for the scaling policies. Both require you to specify the high and low thresholds for the alarms. Both require you to define whether to add or remove instances, and how many, or set the group to an exact size. The main difference between the policy types is the step adjustments that you get with step scaling policies. When step adjustments are applied, and they increase or decrease the current capacity of your Auto Scaling group, the adjustments vary based on the size of the alarm breach.

The primary issue with simple scaling is that after a scaling activity is started, the policy must wait for the scaling activity or health check replacement to complete and the cooldown period to expire before responding to additional alarms. Cooldown periods help to prevent the initiation of additional scaling activities before the effects of previous activities are visible.
With a target tracking scaling policy, you can increase or decrease the current capacity of the group based on a target value for a specific metric. This policy will help resolve the over-provisioning of your resources. The scaling policy adds or removes capacity as required to keep the metric at, or close to, the specified target value. In addition to keeping the metric close to the target value, a target tracking scaling policy also adjusts to changes in the metric due to a changing load pattern. Hence, the correct answer is:
Use target tracking scaling.
The option that says: Use simple scaling is incorrect because you need to wait for the cooldown period to complete before initiating additional scaling activities. Target tracking or step scaling policies can trigger a scaling activity immediately without waiting for the cooldown period to expire.
The option that says: Use scheduled scaling is incorrect because this policy is mainly used for predictable traffic patterns. You need to use the target tracking scaling policy to optimize the cost of your infrastructure without affecting the performance.
The option that says: Use suspend and resume scaling is incorrect because this type is used to temporarily pause scaling activities triggered by your scaling policies and scheduled actions.
References:
https://docs.aws.amazon.com/autoscaling/ec2/userguide/as-scaling-target-tracking.html
https://docs.aws.amazon.com/autoscaling/ec2/userguide/AutoScalingGroup.html Check out this AWS Auto Scaling Cheat Sheet:
https://tutorialsdojo.com/aws-auto-scaling/
問題 #414
A company needs to design an online analytics application that uses Redshift Cluster for its data warehouse.
Which of the following services allows them to monitor all API calls in Redshift instance and can also provide secured data for auditing and compliance purposes?

• A. AWS X-Ray
• B. Amazon Redshift Spectrum
• C. AWS CloudTrail
• D. Amazon CloudWatch

答案：C 解題說明：
AWS CloudTrail is a service that enables governance, compliance, operational auditing, and risk auditing of your AWS account. With CloudTrail, you can log, continuously monitor, and retain account activity related to actions across your AWS infrastructure. By default, CloudTrail is enabled on your AWS account when you create it. When activity occurs in your AWS account, that activity is recorded in a CloudTrail event. You can easily view recent events in the CloudTrail console by going to Event history.

CloudTrail provides event history of your AWS account activity, including actions taken through the AWS Management Console, AWS SDKs, command line tools, API calls, and other AWS services. This event history simplifies security analysis, resource change tracking, and troubleshooting. Hence, the correct answer is: AWS CloudTrail.
Amazon CloudWatch is incorrect. Although this is also a monitoring service, it cannot track the API calls to your AWS resources.
AWS X-Ray is incorrect because this is not a suitable service to use to track each API call to your AWS resources. It just helps you debug and analyze your microservices applications with request tracing so you can find the root cause of issues and performance.
Amazon Redshift Spectrum is incorrect because this is not a monitoring service but rather a feature of Amazon Redshift that enables you to query and analyze all of your data in Amazon S3 using the open data formats you already use, with no data loading or transformations needed. References:
https://aws.amazon.com/cloudtrail/
https://docs.aws.amazon.com/awscloudtrail/latest/userguide/cloudtrail-user-guide.html Check out this AWS CloudTrail Cheat Sheet:
https://tutorialsdojo.com/aws-cloudtrail/
問題 #415
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. Use Amazon Athena foe one-time queries Use Amazon QuickSight to create dashboards for KPIs
• B. Create custom AWS Lambda functions to move the individual records from me databases to an Amazon Redshift duster
• 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 Kinesis Data Analytics for 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

答案：A,D
問題 #416
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