SAA-C03 Exam Dumps - AWS Certified Solutions Architect - Associate (SAA-C03)

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Question # 113

An ecommerce company wants to launch a one-deal-a-day website on AWS. Each day will feature exactly one product on sale for a period of 24 hours. The company wants to be able to handle millions of requests each hour with millisecond latency during peak hours.

Which solution will meet these requirements with the LEAST operational overhead?

Use Amazon S3 to host the full website in different S3 buckets Add Amazon CloudFront distributions Set the S3 buckets as origins for the distributions Store the order data in Amazon S3

Deploy the full website on Amazon EC2 instances that run in Auto Scaling groups across multiple Availability Zones Add an Application Load Balancer (ALB) to distribute the website traffic Add another ALB for the backend APIs Store the data in Amazon RDS for MySQL

Migrate the full application to run in containers Host the containers on Amazon Elastic Kubernetes Service (Amazon EKS) Use the Kubernetes Cluster Autoscaler to increase and decrease the number of pods to process bursts in traffic Store the data in Amazon RDS for MySQL

Use an Amazon S3 bucket to host the website's static content Deploy an Amazon CloudFront distribution. Set the S3 bucket as the origin Use Amazon API Gateway and AWS Lambda functions for the backend APIs Store the data in Amazon DynamoDB

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Question # 114

A company has an application that ingests incoming messages. These messages are then quickly consumed by dozens of other applications and microservices.

The number of messages varies drastically and sometimes spikes as high as 100,000 each second. The company wants to decouple the solution and increase scalability.

Which solution meets these requirements?

Persist the messages to Amazon Kinesis Data Analytics. All the applications will read and process the messages.

Deploy the application on Amazon EC2 instances in an Auto Scaling group, which scales the number of EC2 instances based on CPU metrics.

Write the messages to Amazon Kinesis Data Streams with a single shard. All applications will read from the stream and process the messages.

Publish the messages to an Amazon Simple Notification Service (Amazon SNS) topic with one or more Amazon Simple Queue Service (Amazon SQS) subscriptions. All applications then process the messages from the queues.

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Question # 115

A solutions architect is designing a VPC with public and private subnets. The VPC and subnets use IPv4 CIDR blocks. There is one public subnet and one private subnet in each of three Availability Zones (AZs) for high availability. An internet gateway is used to provide internet access for the public subnets. The private subnets require access to the internet to allow Amazon EC2 instances to download software updates.

What should the solutions architect do to enable Internet access for the private subnets?

Create three NAT gateways, one for each public subnet in each AZ. Create a private route table for each AZ that forwards non-VPC traffic to the NAT gateway in its AZ.

Create three NAT instances, one for each private subnet in each AZ. Create a private route table for each AZ that forwards non-VPC traffic to the NAT instance in its AZ.

Create a second internet gateway on one of the private subnets. Update the route table for the private subnets that forward non-VPC traffic to the private internet gateway.

Create an egress-only internet gateway on one of the public subnets. Update the route table for the private subnets that forward non-VPC traffic to the egress- only internet gateway.

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Question # 116

A company has an application that generates a large number of files, each approximately 5 MB in size. The files are stored in Amazon S3. Company policy requires the files to be stored for 4 years before they can be deleted Immediate accessibility is always required as the files contain critical business data that is not easy to reproduce. The files are frequently accessed in the first 30 days of the object creation but are rarely accessed after the first 30 days

Which storage solution is MOST cost-effective?

Create an S3 bucket lifecycle policy to move Mm from S3 Standard to S3 Glacier 30 days from object creation Delete the Tiles 4 years after object creation

Create an S3 bucket lifecycle policy to move tiles from S3 Standard to S3 One Zone-infrequent Access (S3 One Zone-IA] 30 days from object creation. Delete the fees 4 years after object creation

Create an S3 bucket lifecycle policy to move files from S3 Standard-infrequent Access (S3 Standard -lA) 30 from object creation. Delete the ties 4 years after object creation

Create an S3 bucket Lifecycle policy to move files from S3 Standard to S3 Standard-Infrequent Access (S3 Standard-IA) 30 days from object creation Move the files to S3 Glacier 4 years after object carton.

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Question # 117

A company has an AWS Glue extract. transform, and load (ETL) job that runs every day at the same time. The job processes XML data that is in an Amazon S3 bucket.

New data is added to the S3 bucket every day. A solutions architect notices that AWS Glue is processing all the data during each run.

What should the solutions architect do to prevent AWS Glue from reprocessing old data?

Edit the job to use job bookmarks.

Edit the job to delete data after the data is processed

Edit the job by setting the NumberOfWorkers field to 1.

Use a FindMatches machine learning (ML) transform.

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Question # 118

A company has stored 10 TB of log files in Apache Parquet format in an Amazon S3 bucket The company occasionally needs to use SQL to analyze the log files Which solution will meet these requirements MOST cost-effectively?

Create an Amazon Aurora MySQL database Migrate the data from the S3 bucket into Aurora by using AWS Database Migration Service (AWS DMS) Issue SQL statements to the Aurora database.

Create an Amazon Redshift cluster Use Redshift Spectrum to run SQL statements directly on the data in the S3 bucket

Create an AWS Glue crawler to store and retrieve table metadata from the S3 bucket Use Amazon Athena to run SQL statements directly on the data in the S3 bucket

Create an Amazon EMR cluster Use Apache Spark SQL to run SQL statements directly on the data in the S3 bucket

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Question # 119

A company maintains about 300 TB in Amazon S3 Standard storage month after month The S3 objects are each typically around 50 GB in size and are frequently replaced with multipart uploads by their global application The number and size of S3 objects remain constant but the company's S3 storage costs are increasing each month.

How should a solutions architect reduce costs in this situation?

Switch from multipart uploads to Amazon S3 Transfer Acceleration.

Enable an S3 Lifecycle policy that deletes incomplete multipart uploads.

Configure S3 inventory to prevent objects from being archived too quickly.

Configure Amazon CloudFront to reduce the number of objects stored in Amazon S3.

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Answer:

Explanation:

This option is the most cost-effective way to reduce the S3 storage costs in this situation. Incomplete multipart uploads are parts of objects that are not completed or aborted by the application. They consume storage space and incur charges until they are deleted. By enabling an S3 Lifecycle policy that deletes incomplete multipart uploads, you can automatically remove them after a specified period of time (such as one day) and free up the storage space. This will reduce the S3 storage costs and also improve the performance of the application by avoiding unnecessary retries or errors.

Option A is not correct because switching from multipart uploads to Amazon S3 Transfer Acceleration will not reduce the S3 storage costs. Amazon S3 Transfer Acceleration is a feature that enables faster data transfers to and from S3 by using the AWS edge network. It is useful for improving the upload speed of large objects over long distances, but it does not affect the storage space or charges. In fact, it may increase the costs by adding a data transfer fee for using the feature.

Option C is not correct because configuring S3 inventory to prevent objects from being archived too quickly will not reduce the S3 storage costs. Amazon S3 Inventory is a feature that provides a report of the objects and their metadata in an S3 bucket. It is useful for managing and auditingthe S3 objects, but it does not affect the storage space or charges. In fact, it may increase the costs by generating additional S3 objects for the inventory reports.

Option D is not correct because configuring Amazon CloudFront to reduce the number of objects stored in Amazon S3 will not reduce the S3 storage costs. Amazon CloudFront is a content delivery network (CDN) that distributes the S3 objects to edge locations for faster and lower latency access. It is useful for improving the download speed and availability of the S3 objects, but it does not affect the storage space or charges. In fact, it may increase the costs by adding a data transfer fee for using the service.Â References:

Managing your storage lifecycle

Using multipart upload

Amazon S3 Transfer Acceleration

Amazon S3 Inventory

What Is Amazon CloudFront?

Question # 120

An ecommerce company runs Its application on AWS. The application uses an Amazon Aurora PostgreSQL cluster in Multi-AZ mode for the underlying database. During a recent promotionalcampaign, the application experienced heavy read load and write load. Users experienced timeout issues when they attempted to access the application.

A solutions architect needs to make the application architecture more scalable and highly available.

Which solution will meet these requirements with the LEAST downtime?

Create an Amazon EventBndge rule that has the Aurora cluster as a source. Create an AWS Lambda function to log the state change events of the Aurora cluster. Add the Lambda function as a target for the EventBndge rule Add additional reader nodes to fail over to.

Modify the Aurora cluster and activate the zero-downtime restart (ZDR) feature. Use Database Activity Streams on the cluster to track the cluster status.

Add additional reader instances to the Aurora cluster Create an Amazon RDS Proxy target group for the Aurora cluster.

Create an Amazon ElastiCache for Redis cache. Replicate data from the Aurora cluster to Redis by using AWS Database Migration Service (AWS DMS) with a write-around approach.

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