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Amazon SAP-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Continuous improvement for existing solutions	25%
Topic 2: Accelerate workload migration and modernization	20%
Topic 3: Design for new solutions	29%
Topic 4: Design solutions for organizational complexity	26%

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Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q35-Q40):

NEW QUESTION # 35
A solutions architect is planning to migrate critical Microsoft SOL Server databases to AWS. Because the databases are legacy systems, the solutions architect will move the databases to a modern data architecture.
The solutions architect must migrate the databases with near-zero downtime.
Which solution will meet these requirements?

A. Use AWS Application Migration Service. Rehost the database server on Amazon EC2. When data replication is finished, detach the database and move the database to an Amazon RDS for Microsoft SQL Server DB instance. Reattach the database and then cut over all networking.
B. Use AWS Application Migration Service and the AWS Schema Conversion Tool (AWS SCT). Perform an In-place upgrade before the migration. Export the migrated data to Amazon Aurora Serverless after cutover. Repoint the applications to Amazon Aurora.
C. Use native database high availability tools Connect the source system to an Amazon RDS for Microsoft SQL Server DB instance Configure replication accordingly. When data replication is finished, transition the workload to an Amazon RDS for Microsoft SQL Server DB instance.
D. Use AWS Database Migration Service (AWS DMS) to Rehost the database. Set Amazon S3 as a target.
Set up change data capture (CDC) replication. When the source and destination are fully synchronized, load the data from Amazon S3 into an Amazon RDS for Microsoft SQL Server DB Instance.

Answer: D

Explanation:
AWS DMS can migrate data from a source database to a target database in AWS, using change data capture (CDC) to replicate ongoing changes and keep the databases in sync. Setting Amazon S3 as a target allows storing the migrated data in a durable and cost-effective storage service. When the source and destination are fully synchronized, the data can be loaded from Amazon S3 into an Amazon RDS for Microsoft SQL Server DB instance, which is a managed database service that simplifies database administration tasks. References:
https://docs.aws.amazon.com/dms/latest/userguide/CHAP_Source.SQLServer.html
https://docs.aws.amazon.com/dms/latest/userguide/CHAP_Target.S3.html
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_SQLServer.html

NEW QUESTION # 36
A company has purchased appliances from different vendors. The appliances all have loT sensors. The sensors send status information in the vendors' proprietary formats to a legacy application that parses the information into JSON. The parsing is simple, but each vendor has a unique format. Once daily, the application parses all the JSON records and stores the records in a relational database for analysis.
The company needs to design a new data analysis solution that can deliver faster and optimize costs.
Which solution will meet these requirements?

A. Use AWS Snowball Edge to collect data from the loT sensors directly to perform local analysis.Periodically collect the data into Amazon Redshift to perform global analysis.
B. Create an AWS Transfer for SFTP server. Update the loT sensor code to send the information as a .csv file through SFTP to the server. Use AWS Glue to catalog the files. Use Amazon Athena for analysis.
C. Migrate the application server to AWS Fargate, which will receive the information from loT sensors and parse the information into a relational format. Save the parsed information to Amazon Redshift for analysis.
D. Connect the loT sensors to AWS loT Core. Set a rule to invoke an AWS Lambda function to parse the information and save a .csv file to Amazon S3. Use AWS Glue to catalog the files. Use Amazon Athena and Amazon OuickSight for analysis.

Answer: D

Explanation:
* Connect the IoT sensors to AWS IoT Core. Set a rule to invoke an AWS Lambda function to parse the information and save a .csv file to Amazon S3. Use AWS Glue to catalog the files. Use Amazon Athena and Amazon QuickSight for analysis. This solution meets the requirement of faster analysis and cost optimization by using AWS IoT Core to collect data from the IoT sensors in real-time and then using AWS Glue and Amazon Athena for efficient data analysis.
This solution involves connecting the loT sensors to the AWS loT Core, setting a rule to invoke an AWS Lambda function to parse the information, and saving a .csv file to Amazon S3. AWS Glue can be used to catalog the files and Amazon Athena and Amazon QuickSight can be used for analysis. This solution will enable faster and more cost-effective data analysis.
This solution is in line with the official Amazon Textbook and Resources for the AWS Certified Solutions Architect - Professional certification. In particular, the book states that: "AWS IoT Core can be used to ingest and process the data, AWS Lambda can be used to process and transform the data, and Amazon S3 can be used to store the data. AWS Glue can be used to catalog and access the data, Amazon Athena can be used to query the data, and Amazon QuickSight can be used to visualize the data." (Source: https://d1.awsstatic.com
/training-and-certification/docs-sa-pro
/AWS_Certified_Solutions_Architect_Professional_Exam_Guide_EN_v1.5.pdf)

NEW QUESTION # 37
A company is using an Amazon CloudFront distribution to distribute both static and dynamic content from a web application running behind an Application Load Balancer. The web application requires user authorization and session tracking for dynamic content. The CloudFront distribution has a single cache behavior configured to forward the Authorization, Host, and User-Agent http whitelist headers and a session cookie to the origin. All other cache behavior settings are set to their default value. A valid ACM certificate is applied to the CloudFront distribution with a matching CNAME in the distribution settings. The ACM certificate is also applied to the https listener for the Application Load Balancer. The CloudFront origin protocol policy is set to https only. Analysis of the cache statistics report shows that the miss rate for this distribution is very high.
What can the Solutions Architect do to improve the cache hit rate for this distribution without causing the SSL/TLS handshake between CloudFront and the Application Load Balancer to fail?

A. Remove the User-Agent and Authorization https headers from the whitelist headers section of the cache behavior. Then update the cache behavior to use presigned cookies for authorization.
B. Remove the Host http header from the whitelist headers section and remove the session cookie from the whitelist cookies section for the default cache behavior. Enable automatic object compression and use Lambda@Edge viewer request events for user authorization.
C. Create two cache behaviors for static and dynamic content. Remove the User-Agent and Host
http headers from the whitelist headers section on both if the cache behaviors. Remove the session cookie from the whitelist cookies section and the Authorization http header from the whitelist headers section for cache behavior configured for static content.
D. Create two cache behaviors for static and dynamic content. Remove the User-Agent http header from the whitelist headers section on both of the cache behaviors. Remove the session cookie from the whitelist cookies section and the Authorization http header from the whitelist headers section for cache behavior configured for static content.

Answer: D

Explanation:
Need to keep host header as cloudfront and elb is using the SAME ssl certificate.
https://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/using-https-cloudfront- to-custom-origin.html search "host"

NEW QUESTION # 38
A company is running an Apache Hadoop cluster on Amazon EC2 instances. The Hadoop cluster stores approximately 100 TB of data for weekly operational reports and allows occasional access for data scientists to retrieve data. The company needs to reduce the cost and operational complexity for storing and serving this data.
Which solution meets these requirements in the MOST cost-effective manner?

A. Migrate the data to Amazon DynamoDB and modify the reports to fetch data from DynamoDB. Allow the data scientists to access the data directly in DynamoDB.
B. Move the data to Amazon S3 and use Amazon Athena to query the data for reports. Allow the data scientists to access the data directly in Amazon S3.
C. Move the Hadoop cluster from EC2 instances to Amazon EMR. Allow data access patterns to remain the same.
D. Write a script that resizes the EC2 instances to a smaller instance type during downtime and resizes the instances to a larger instance type before the reports are created.

Answer: B

Explanation:
Explanation
"The company needs to reduce the cost and operational complexity for storing and serving this data. Which solution meets these requirements in the MOST cost-effective manner?" EMR storage is ephemeral. The company has 100TB that need to persist, they would have to use EMRFS to backup to S3 anyway.
https://docs.aws.amazon.com/emr/latest/ManagementGuide/emr-plan-storage.html
100TB
EBS - 8.109$
S3 - 2.355$
You have saved 5.752$
This amount can be used for Athen. BTW. we don't know indexes, amount of data that is scanned. What we know is that tit will be: "occasional access for data scientists to retrieve data"

NEW QUESTION # 39
A company has 20 accounts in an organization in AWS Organizations. The accounts are in two OUs: development and production. Multiple teams use the development accounts.
The company wants to control the cost that is associated with the development accounts. The company needs a solution that provides a notification when the forecasted monthly cost for all development accounts exceeds a threshold.
A solutions architect creates an Amazon SNS topic and subscribes an email address to the topic.
What should the solutions architect do next to meet the notification requirement with the LEAST configuration effort?

A. Use AWS Budgets to create a cost budget in the organization's management account.
Configure each development account as a linked account. Configure an alert threshold. Configure the SNS topic for email alerts.
B. Create an AWS Cost and Usage Report in the organization's management account. Configure report delivery to an Amazon S3 bucket. Configure an AWS Glue job to extract the report data into Amazon Athena. Configure AWS Step Functions to analyze the consolidated cost of all the development accounts. Configure the SNS topic for email alerts when the cost exceeds the threshold.
C. Enable AWS Cost Explorer in the organization's management account. Configure each development account as a linked account. Configure an alert threshold. Configure the SNS topic for email alerts.
D. Enable Amazon CloudWatch billing alerts in the organization's management account. Create a CloudWatch billing alarm by configuring the EstimatedCharges metric for each development account as a linked account. Configure the SNS topic for email alerts when the EstimatedCharges metric value exceeds the threshold.

Answer: A

Explanation:
AWS Budgets is the most straightforward and cost-effective solution for monitoring and controlling costs across multiple AWS accounts. By creating a cost budget in the organization's management account, you can track the consolidated costs of all development accounts. AWS Budgets supports setting an alert threshold based on forecasted or actual costs and allows you to send notifications via Amazon SNS when the threshold is exceeded. This solution requires minimal configuration and leverages built-in AWS services for managing costs effectively across multiple accounts.

NEW QUESTION # 40
......

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