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Question 60

A company runs its application on Amazon EC2 instances and AWS Lambda functions. The EC2 instances experience a continuous and stable load. The Lambda functions

experience a varied and unpredictable load. The application includes a caching layer that uses an Amazon MemoryDB for Redis cluster.

A solutions architect must recommend a solution to minimize the company's overall monthly costs.

Which solution will meet these requirements?

Options:

Purchase an EC2 Instance Savings Plan to cover the EC2 instances. Purchase a Compute Savings Plan for Lambda to cover the minimum expected consumption of the Lambda functions. Purchase reserved nodes to cover the MemoryDB cache nodes.

Purchase a Compute Savings Plan to cover the EC2 instances. Purchase Lambda reserved concurrency to cover the expected Lambda usage. Purchase reserved nodes to cover the MemoryDB cache nodes.

Purchase a Compute Savings Plan to cover the entire expected cost of the EC2 instances, Lambda functions, and MemoryDB cache nodes.

Purchase a Compute Savings Plan to cover the EC2 instances and the MemoryDB cache nodes. Purchase Lambda reserved concurrency to cover the expected Lambda usage.

Question 61

A solutions architect has implemented a SAML 2 0 federated identity solution with their company's on-premises identity provider (IdP) to authenticate users' access to the AWS environment. When the solutions architect tests authentication through the federated identity web portal, access to the AWS environment is granted However when test users attempt to authenticate through the federated identity web portal, they are not able to access the AWS environment

Which items should the solutions architect check to ensure identity federation is properly configured? (Select THREE)

Options:

The 1AM user's permissions policy has allowed the use of SAML federation for that user

The 1AM roles created for the federated users' or federated groups' trust policy have set the SAML provider as the principal

Test users are not in the AWSFederatedUsers group in the company's IdP

The web portal calls the AWS STS AssumeRoleWithSAML API with the ARN of the SAML provider, the ARN of the 1AM role, and the SAML assertion from IdP

The on-premises IdP's DNS hostname is reachable from the AWS environment VPCs

The company's IdP defines SAML assertions that properly map users or groups in the company to 1AM roles with appropriate permissions

Question 62

A flood monitoring agency has deployed more than 10.000 water-level monitoring sensors. Sensors send continuous data updates, and each update is less than 1 MB in size. The agency has a fleet of on-premises application servers. These servers receive upda.es 'on the sensors, convert the raw data into a human readable format, and write the results loan on-premises relational database server. Data analysts then use simple SOL queries to monitor the data.

The agency wants to increase overall application availability and reduce the effort that is required to perform maintenance tasks These maintenance tasks, which include updates and patches to the application servers, cause downtime. While an application server is down, data is lost from sensors because the remaining servers cannot handle the entire workload.

The agency wants a solution that optimizes operational overhead and costs. A solutions architect recommends the use of AWS loT Core to collect the sensor data.

What else should the solutions architect recommend to meet these requirements?

Options:

Send the sensor data to Amazon Kinesis Data Firehose. Use an AWS Lambda function to read the Kinesis Data Firehose data, convert it to .csv format, and insert it into an Amazon Aurora MySQL DB instance. Instruct the data analysts to query the data directly from the DB instance.

Send the sensor data to Amazon Kinesis Data Firehose. Use an AWS Lambda function to read the Kinesis Data Firehose data, convert it to Apache Parquet format and save it to an Amazon S3 bucket. Instruct the data analysts to query the data by using Amazon Athena.

Send the sensor data to an Amazon Managed Service for Apache Flink {previously known as Amazon Kinesis Data Analytics) application to convert the data to .csv format and store it in an Amazon S3 bucket. Import the data into an Amazon Aurora MySQL DB instance. Instruct the data analysts to query the data directly from the DB instance.

Send the sensor data to an Amazon Managed Service for Apache Flink (previously known as Amazon Kinesis Data Analytics) application to convert the data to Apache Parquet format and store it in an Amazon S3 bucket Instruct the data analysis to query the data by using Amazon Athena.

Question 63

A company is migrating an application to AWS. It wants to use fully managed services as much as possible during the migration The company needs to store large, important documents within the application with the following requirements

1 The data must be highly durable and available

2. The data must always be encrypted at rest and in transit.

3 The encryption key must be managed by the company and rotated periodically

Which of the following solutions should the solutions architect recommend?

Options:

Deploy the storage gateway to AWS in file gateway mode Use Amazon EBS volume encryption using an AWS KMS key to encrypt the storage gateway volumes

Use Amazon S3 with a bucket policy to enforce HTTPS for connections to the bucket and to enforce server-side encryption and AWS KMS for object encryption.

Use Amazon DynamoDB with SSL to connect to DynamoDB Use an AWS KMS key to encrypt DynamoDB objects at rest.

Deploy instances with Amazon EBS volumes attached to store this data Use EBS volume encryption using an AWS KMS key to encrypt the data.

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