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Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q518-Q523):

NEW QUESTION # 518
The company needs to determine which costs on the monthly AWS bill are attributable to each application or team. The company also must be able to create reports to compare costs from the last 12 months and to help forecast costs for the next 12 months. A solutions architect must recommend an AWS Billing and Cost Management solution that provides these cost reports.
Which combination of actions will meet these requirements? (Select THREE.)

A. Create a cost budget.
B. Activate the AWS generated cost allocation tags that represent the application and the team.
C. Activate IAM access to Billing and Cost Management.
D. Activate the user-defined cost allocation tags that represent the application and the team.
E. Enable Cost Explorer.
F. Create a cost category for each application in Billing and Cost Management.

Answer: D,E,F

Explanation:
https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/manage-cost-categories.html
https://aws.amazon.com/premiumsupport/knowledge-center/cost-explorer-analyze-spending-and-usage/
https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/manage-cost-categories.html https://docs.aws.
amazon.com/cost-management/latest/userguide/ce-enable.html
The best combination of actions to meet the company's requirements is Options A, C, and F.
Option A involves activating the user-defined cost allocation tags that represent the application and the team.
This will allow the company to assign costs to different applications or teams, and will allow them to be tracked in the monthly AWS bill.
Option C involves creating a cost category for each application in Billing and Cost Management. This will allow the company to easily identify and compare costs across different applications and teams.
Option F involves enabling Cost Explorer. This will allow the company to view the costs of their AWS resources over the last 12 months and to create forecasts for the next 12 months.
These recommendations are in line with the official Amazon Textbook and Resources for the AWS Certified Solutions Architect - Professional certification. In particular, the book states that "You can use cost allocation tags to group your costs by application, team, or other categories" (Source: https://d1.awsstatic.com/training- and-certification/docs-sa-pro/AWS_Certified_Solutions_Architect_Professional_Exam_Guide_EN_v1.5.pdf).
Additionally, the book states that "Cost Explorer enables you to view the costs of your AWS resources over the last 12 months and to create forecasts for the next 12 months" (Source: https://d1.awsstatic.com/training- and-certification/docs-sa-pro/AWS_Certified_Solutions_Architect_Professional_Exam_Guide_EN_v1.5.pdf).

NEW QUESTION # 519
Question:
A company needs to migratesome Oracle databases to AWSwhile keeping otherson-premisesfor compliance. The on-prem databases containspatial dataand runcron jobs. The solution must allowquerying on-prem data as foreign tablesfrom AWS.

A. Use EC2-hosted Oracle with Application Migration Service. Use Step Functions for cron.
B. Use RDS for SQL Server and AWS Glue crawlers for Oracle access.
C. Use RDS for PostgreSQL with DMS and SCT. Use PostgreSQL foreign data wrappers. Connectvia Direct Connect.
D. Use DynamoDB, SCT, and Lambda. Move spatial data to S3 and query with Athena.

Answer: C

Explanation:
Comprehensive and Detailed Explanation:
D is correct becauseRDS for PostgreSQLsupportsforeign data wrappers (FDW)that allow querying remote Oracle databases. WithAWS Schema Conversion Tool (SCT)andDatabase Migration Service (DMS), schema and data can be migrated effectively.AWS Direct Connectensures secure, private connectivity to on- prem databases. Cron jobs can be run via EventBridge or external orchestration.
* A doesn't support relational/spatial querying.
* B doesn't support FDW or spatial types.
* C introduces unnecessary complexity.
#Reference:
https://www.postgresql.org/docs/current/postgres-fdw.html
https://docs.aws.amazon.com/dms/latest/userguide/CHAP_Target.PostgreSQL.html

NEW QUESTION # 520
A company has a website that runs on Amazon EC2 instances behind an Application Load Balancer (ALB). The instances are in an Auto Scaling group. The ALB is associated with an AWS WAF web ACL.
The website often encounters attacks in the application layer. The attacks produce sudden and significant increases in traffic on the application server. The access logs show that each attack originates from different IP addresses. A solutions architect needs to implement a solution to mitigate these attacks.
Which solution will meet these requirements with the LEAST operational overhead?

A. Create an Amazon CloudWatch alarm that monitors server access. Set a threshold based on access by IP address. Configure an alarm action that adds the IP address to the web ACL's deny list.
B. Inspect access logs to find a pattern of IP addresses that launched the attacks. Use an Amazon Route 53 geolocation routing policy to deny traffic from the countries that host those IP addresses.
C. Deploy AWS Shield Advanced in addition to AWS WAF. Add the ALB as a protected resource.
D. Create an Amazon CloudWatch alarm that monitors user IP addresses. Set a threshold based on access by IP address. Configure the alarm to invoke an AWS Lambda function to add a deny rule in the application server's subnet route table for any IP addresses that activate the alarm.

Answer: C

Explanation:
AWS Shield Advanced is a paid version of the service that provides additional protection against large scale and sophisticated DDoS attacks. This version includes all the features of the Basic version, but with additional capabilities such as 24/7 availability, a dedicated DDoS response team, and advanced attack analytics and reporting. Additionally, AWS Shield Advanced provides access to advanced DDoS protection and mitigation capabilities, such as the ability to customize protections for specific application requirements, and to mitigate attacks more quickly and effectively.

NEW QUESTION # 521
A video processing company wants to build a machine learning (ML) model by using 600 TB of compressed data that is stored as thousands of files in the company's on-premises network attached storage system. The company does not have the necessary compute resources on premises for ML experiments and wants to use AWS.
The company needs to complete the data transfer to AWS within 3 weeks. The data transfer will be a one-time transfer. The data must be encrypted in transit. The measured upload speed of the company's internet connection is 100 Mbps, and multiple departments share the connection.
Which solution will meet these requirements MOST cost-effectively?

A. Set up a 10 Gbps AWS Direct Connect connection between the company location and the nearest AWS Region. Transfer the data over a VPN connection into the Region to store the data in Amazon S3.
B. Deploy an AWS Storage Gateway file gateway on premises. Configure the file gateway with a destination S3 bucket. Copy the data to the file gateway.
C. Create a VPN connection between the on-premises network storage and the nearest AWS Region.
Transfer the data over the VPN connection.
D. Order several AWS Snowball Edge Storage Optimized devices by using the AWS Management Console. Configure the devices with a destination S3 bucket. Copy the data to the devices. Ship the devices back to AWS.

Answer: D

Explanation:
Explanation
This solution will meet the requirements of the company as it provides a secure, cost-effective and fast way of transferring large data sets from on-premises to AWS. Snowball Edge devices encrypt the data during transfer, and the devices are shipped back to AWS for import into S3. This option is more cost effective than using Direct Connect or VPN connections as it does not require the company to pay for long-term dedicated connections.

NEW QUESTION # 522
A life sciences company is using a combination of open source tools to manage data analysis workflows and Docker containers running on servers in its on-premises data center to process genomics data Sequencing data is generated and stored on a local storage area network (SAN), and then the data is processed. The research and development teams are running into capacity issues and have decided to re-architect their genomics analysis platform on AWS to scale based on workload demands and reduce the turnaround time from weeks to days. The company has a high-speed AWS Direct Connect connection Sequencers will generate around 200 GB of data for each genome, and individual jobs can take several hours to process the data with ideal compute capacity. The end result will be stored in Amazon S3. The company is expecting 10-15 job requests each day.
Which solution meets these requirements?

A. Use AWS DataSync to transfer the sequencing data to Amazon S3.
Use S3 events to trigger an AWS Lambda function that starts an AWS Step Functions workflow.
Store the Docker images in Amazon Elastic Container Registry (Amazon ECR) and trigger AWS Batch to run the container and process the sequencing data.
B. Use an AWS Storage Gateway file gateway to transfer the sequencing data to Amazon S3.
Use S3 events to trigger an AWS Batch job that runs on Amazon EC2 instances running the Docker containers to process the data.
C. Use AWS Data Pipeline to transfer the sequencing data to Amazon S3.
Use S3 events to trigger an Amazon EC2 Auto Scaling group to launch custom-AMI EC2 instances running the Docker containers to process the data.
D. Use regularly scheduled AWS Snowball Edge devices to transfer the sequencing data into AWS.
When AWS receives the Snowball Edge device and the data is loaded into Amazon S3 use S3 events to trigger an AWS Lambda function to process the data.

Answer: A

Explanation:
https://docs.aws.amazon.com/whitepapers/latest/genomics-data-transfer-analytics-and-machine- learning/transferring-genomics-data-to-the-cloud-and-establishing-data-access-patterns-using- aws-datasync-and-aws-storage-gateway-for-files.html Use AWS DataSync to transfer data to Amazon S3.

NEW QUESTION # 523
......

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