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Amazon SAA-C03 Practice Test - Questions Answers, Page 28
List of questions
Question 271
A company has an On-premises volume backup solution that has reached its end of life. The company wants to use AWS as part of a new backup solution and wants to maintain local access to all the data while it is backed up on AWS. The company wants to ensure that the data backed up on AWS is automatically and securely transferred.
Which solution meets these requirements?
Explanation:
Question 272
A transaction processing company has weekly scripted batch jobs that run on Amazon EC2 instances.
The EC2 instances are in an Auto Scaling group. The number of transactions can vary but the beseline CPU utilization that is noted on each run is at least 60%. The company needs to provision the capacity 30 minutes before the jobs run. Currently engineering complete this task by manually modifying the Auto Scaling group parameters.
The company does not have the resources to analyze the required capacity trends for the Auto Scaling group counts. The company needs an automated way to modify the Auto Scaling group’s capacity. Which solution will meet these requiements with the LEAST operational overhead?
Question 273
A company experienced a breach that affected several applications in its on-premises data center The attacker took advantage of vulnerabilities in the custom applications that were running on the servers The company is now migrating its applications to run on Amazon EC2 instances The company wants to implement a solution that actively scans for vulnerabilities on the EC2 instances and sends a report that details the findings Which solution will meet these requirements?
Question 274
A company stores confidential data in an Amazon Aurora PostgreSQL database in the ap-southeast-3 Region The database is encrypted with an AWS Key Management Service (AWS KMS) customer managed key The company was recently acquired and must securely share a backup of the database with the acquiring company's AWS account in ap-southeast-3. What should a solutions architect do to meet these requirements?
Explanation:
https://docs.aws.amazon.com/kms/latest/developerguide/key-policy-modifying-external-accounts.html There's no need to create another custom AWS KMS key. https://aws.amazon.com/premiumsupport/knowledge-center/aurora-share-encrypted-snapshot/ Give target account access to the custom AWS KMS key within the source account 1. Log in to the source account, and go to the AWS KMS console in the same Region as the DB cluster snapshot. 2. Select Customer-managed keys from the navigation pane. 3. Select your custom AWS KMS key (ALREADY CREATED) 4. From the Other AWS accounts section, select Add another AWS account, and then enter the AWS account number of your target account. Then: Copy and share the DB cluster snapshot
Question 275
A company is launching an application on AWS. The application uses an Application Load (ALB) to direct traffic to at least two Amazon EC2 instances in a single target group. The instances are in an Auto Scaling group for each environment. The company requires a development and a production environment. The production environment will have periods of high traffic. Which solution will configure the development environment MOST cost-effectively?
Explanation:
This option will configure the development environment in the most cost-effective way as it reduces the number of instances running in the development environment and therefore reduces the cost of running the application. The development environment typically requires less resources than the production environment, and it is unlikely that the development environment will have periods of high traffic that would require a large number of instances. By reducing the maximum number of instances in the development environment's Auto Scaling group, the company can save on costs while still maintaining a functional development environment.
Question 276
A company will deployed a web application on AWS. The company hosts the backend database on Amazon RDS for MySQL with a primary DB instance and five read replicas to support scaling needs. The read replicas must log no more than 1 second bahind the primary DB Instance. The database routinely runs scheduled stored procedures. As traffic on the website increases, the replicas experinces addtional lag during periods of peak lead. A solutions architect must reduce the replication lag as much as possible. The solutions architect must minimize changes to the applicatin code and must minimize ongoing overhead. Which solution will meet these requirements?
Migrate the database to Amazon Aurora MySQL. Replace the read replicas with Aurora Replicas, and configure Aurora Auto Scaling. Replace the stored procedures with Aurora MySQL native functions. Deploy an Amazon ElasticCache for Redis cluser in front of the database. Modify the application to check the cache before the application queries the database. Repace the stored procedures with AWS Lambda funcions.
Question 277
A company hosts a multiplayer gaming application on AWS. The company wants the application to read data with sub-millisecond latency and run one-time queries on historical data. Which solution will meet these requirements with the LEAST operational overhead?
Question 278
A company collects data from thousands of remote devices by using a RESTful web services application that runs on an Amazon EC2 instance. The EC2 instance receives the raw data, transforms the raw data, and stores all the data in an Amazon S3 bucket. The number of remote devices will increase into the millions soon. The company needs a highly scalable solution that minimizes operational overhead. Which combination of steps should a solutions architect take to meet these requirements9 (Select TWO.)
Explanation:
"RESTful web services" => API Gateway. "EC2 instance receives the raw data, transforms the raw data, and stores all the data in an Amazon S3 bucket" => GLUE with (Extract - Transform - Load)
Question 279
A company collects data from a large number of participants who use wearabledevices.The company stores the data in an Amazon DynamoDB table and uses applications to analyze the dat a. The data workload is constant and predictable. The company wants to stay at or below its forecasted budget for DynamoDB.
Whihc solution will meet these requirements MOST cost-effectively?
Explanation:
This option is the most efficient because it uses provisioned mode, which is a read/write capacity mode for processing reads and writes on your tables that lets you specify how much read and write throughput you expect your application to perform1. It also specifies the read capacity units (RCUs) and write capacity units (WCUs), which are the amount of data your application needs to read or write per second. It also meets the requirement of staying at or below its forecasted budget for DynamoDB, as provisioned mode has lower costs than on-demand mode for predictable workloads. This solution meets the requirement of collecting data from a large number of participants who use wearable devices with a constant and predictable data workload. Option A is less efficient because it uses provisioned mode and DynamoDB Standard-Infrequent Access (DynamoDB Standard-IA), which is a storage class for infrequently accessed items that require milliseconds latency2. However, this does not meet the requirement of collecting data from a large number of participants who use wearable devices with a constant and predictable data workload, as DynamoDB Standard-IA is more suitable for items that are accessed less frequently than once every 30 days. Option C is less efficient because it uses on-demand mode, which is a read/write capacity mode that lets you pay only for what you use by automatically adjusting your table's capacity in response to changing demand3. However, this does not meet the requirement of staying at or below its forecasted budget for DynamoDB, as on-demand mode has higher costs than provisioned mode for predictable workloads. Option D is less efficient because it uses on- demand mode and specifies the RCUs and WCUs with reserved capacity, which is a way to reserve read and write capacity for your tables in exchange for discounted hourly rates. However, this does not meet the requirement of staying at or below its forecasted budget for DynamoDB, as on-demand mode has higher costs than provisioned mode for predictable workloads. Also, specifying RCUs and WCUs with reserved capacity is not possible with on-demand mode, as it only applies to provisioned mode.
Question 280
A company hostss a three application on Amazon EC2 instances in a single Availability Zone. The web application uses a self-managed MySQL database that is hosted on an EC2 instances to store data in an Amazon Elastic Block Store (Amazon EBS) volumn. The MySQL database currently uses a 1 TB Provisioned IOPS SSD (io2) EBS volume. The company expects traffic of 1,000 IOPS for both reads and writes at peak traffic. The company wants to minimize any distruptions, stabilize perperformace, and reduce costs while retaining the capacity for double the IOPS. The company wants to more the database tier to a fully managed solution that is highly available and fault tolerant.
Which solution will meet these requirements MOST cost-effectively?
Explanation:
RDS supported Storage > https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/CHAP_Storage.html GP2 max IOPS > https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/general-purpose.html#gp2-performance Amazon RDS provides three storage types: General Purpose SSD (also known as gp2 and gp3), Provisioned IOPS SSD (also known as io1), and magnetic (also known as standard). They differ in performance characteristics and price, which means that you can tailor your storage performance and cost to the needs of your database workload. You can create MySQL, MariaDB, Oracle, and PostgreSQL RDS DB instances with up to 64 tebibytes (TiB) of storage. You can create SQL Server RDS DB instances with up to 16 TiB of storage. For this amount of storage, use the Provisioned IOPS SSD and General Purpose SSD storage types. https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/CHAP_Storage.html
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