SAP-C02 Reliable Exam Prep, SAP-C02 Associate Level Exam

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Amazon SAP-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Continuous Improvement for Existing Solutions	25%	- Apply security best practices and compliance updates - Optimize existing workloads for cost, performance, and security - Implement monitoring, logging, and observability - Refactor and modernize legacy applications
Topic 2: Design Solutions for Organizational Complexity	26%	- Design for compliance and governance requirements - Design hybrid and multi-cloud networking - Design for operational excellence and automation - Design multi-account and multi-region architectures
Topic 3: Design for New Solutions	29%	- Design secure and resilient architectures - Design for reliability and fault tolerance - Design high-performing and scalable solutions - Design cost-optimized architectures
Topic 4: Accelerate Workload Migration and Modernization	20%	- Integrate AWS services with existing systems - Modernize applications and data platforms - Migrate applications, data, and infrastructure - Develop migration strategies and plans

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SAP-C02 Associate Level Exam - Reliable SAP-C02 Practice Questions

Test your knowledge of the SAP-C02 exam dumps with Amazon SAP-C02 practice questions. The software is designed to help with AWS Certified Solutions Architect - Professional (SAP-C02) (SAP-C02) exam dumps preparation. Amazon SAP-C02 Practice Test software can be used on devices that range from mobile devices to desktop computers.

Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q621-Q626):

NEW QUESTION # 621
A company has mounted sensors to collect information about environmental parameters such as humidity and light throughout all the company's factories. The company needs to stream and analyze the data in the AWS Cloud in real time. If any of the parameters fall out of acceptable ranges, the factory operations team must receive a notification immediately.
Which solution will meet these requirements?

A. Stream the data to an Amazon Kinesis Data Analytics application. I-Jse an automatically scaled and containerized service in Amazon Elastic Container Service (Amazon ECS) to consume and analyze the data. use Amazon Simple Email Service (Amazon SES) to notify the operations team.
B. Stream the data to an Amazon Kinesis data stream. Create an AWS Lambda function to consume the Kinesis data stream and to analyze the data. Use Amazon Simple Notification Service (Amazon SNS) to notify the operations team.
C. Stream the data to an Amazon Kinesis Data Firehose delivery stream. Use AWS Step Functions to consume and analyze the data in the Kinesis Data Firehose delivery stream. use Amazon Simple Notification Service (Amazon SNS) to notify the operations team.
D. Stream the data to an Amazon Managed Streaming for Apache Kafka (Amazon MSK) cluster. Set up a trigger in Amazon MSK to invoke an AWS Fargate task to analyze the data. Use Amazon Simple Email Service (Amazon SES) to notify the operations team.

Answer: B

Explanation:
The best solution is to stream the data to an Amazon Kinesis data stream and create an AWS Lambda function to consume the Kinesis data stream and to analyze the data. Amazon Kinesis is a web service that can collect, process, and analyze real-time streaming data from various sources, such as sensors. AWS Lambda is a serverless computing service that can run code in response to events, such as incoming data from a Kinesis data stream. By using AWS Lambda, the company can avoid provisioning or managing servers and scale automatically based on the demand. Amazon Simple Notification Service (Amazon SNS) is a web service that enables applications to send and receive notifications from the cloud. By using Amazon SNS, the company can notify the operations team immediately if any of the parameters fall out of acceptable ranges. This solution meets all the requirements of the company.
References: Amazon Kinesis Documentation, AWS Lambda Documentation, Amazon Simple Notification Service Documentation

NEW QUESTION # 622
A company is running multiple workloads in the AWS Cloud. The company has separate units for software development. The company uses AWS Organizations and federation with SAML to give permissions to developers to manage resources in their AWS accounts. The development units each deploy their production workloads into a common production account.
Recently, an incident occurred in the production account in which members of a development unit terminated an EC2 instance that belonged to a different development unit. A solutions architect must create a solution that prevents a similar incident from happening in the future. The solution also must allow developers the possibility to manage the instances used for their workloads.
Which strategy will meet these requirements?

A. Create separate OUs in AWS Organizations for each development unit. Assign the created OUs to the company AWS accounts. Create separate SCP with a deny action and a StringNotEquals condition for the DevelopmentUnit resource tag that matches the development unit name. Assign the SCP to the corresponding OU.
B. Pass an attribute for DevelopmentUnit as an AWS Security Token Service (AWS STS) session tag during SAML federation. Create an SCP with an allow action and a StringEquals condition for the DevelopmentUnit resource tag and aws:PrincipalTag/DevelopmentUnit. Assign the SCP to the root OU.
C. Create separate IAM policies for each development unit. For every IAM policy, add an allow action and a StringEquals condition for the DevelopmentUnit resource tag and the development unit name. During SAML federation, use AWS Security Token Service (AWS STS) to assign the IAM policy and match the development unit name to the assumed IAM role.
D. Pass an attribute for DevelopmentUnit as an AWS Security Token Service (AWS STS) session tag during SAML federation. Update the IAM policy for the developers' assumed IAM role with a deny action and a StringNotEquals condition for the DevelopmentUnit resource tag and aws:PrincipalTag/DevelopmentUnit.

Answer: A

NEW QUESTION # 623
A company is running a containerized application in the AWS Cloud. The application is running by using Amazon Elastic Container Service (Amazon ECS) on a set of Amazon EC2 instances. The EC2 instances run in an Auto Scaling group.
The company uses Amazon Elastic Container Registry (Amazon ECR) to store its container images. When a new image version is uploaded, the new image version receives a unique tag.
The company needs a solution that inspects new image versions for common vulnerabilities and exposures. The solution must automatically delete new image tags that have Critical or High severity findings. The solution also must notify the development team when such a deletion occurs.
Which solution meets these requirements?

A. Configure scan on push on the repository.
Use Amazon EventBndge (Amazon ClouoWatch Events) to invoke an AWS Step Functions state machine when a scan is complete for images that have Cntical or High severity findings.
Use the Step Functions state machine to delete the image tag for those images and to notify the development team through Amazon Simple Notification Service (Amazon SNS)
B. Schedule an AWS Lambda function to start a manual image scan every hour.
Configure Amazon EventBridge (Amazon CloudWatch Events) to invoke another Lambda function when a scan is complete.
Use the second Lambda function to delete the image tag for images that have Critical or High severity findings.
Notify the development team by using Amazon Simple Notification Service (Amazon SNS)
C. Configure periodic image scan on the repository.
Configure scan results to be added to an Amazon Simple Queue Service (Amazon SQS) queue.
Invoke an AWS Step Functions state machine when a new message is added to the SQS queue.
Use the Step Functions state machine to delete the image tag for images that have Critical or High severity findings.
Notify the development team by using Amazon Simple Email Service (Amazon SES).
D. Configure scan on push on the repository.
Configure scan results to be pushed to an Amazon
Simple Queue Service (Amazon SQS) queue.
Invoke an AWS Lambda function when a new message is added to the SOS queue.
Use the Lambda function to delete the image tag for images that have Critical or High seventy findings.
Notify the development team by using Amazon Simple Email Service (Amazon SES).

Answer: A

Explanation:
ECR scans supports only eventbridge.
https://docs.aws.amazon.com/AmazonECR/latest/userguide/image-scanning.html#scanning- repository

NEW QUESTION # 624
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?

A. 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.
B. 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.
C. Send the sensor data to Amazon Kinesis Data Firehose. Use an AWS Lambda function to readthe 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.
D. 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.

Answer: C

Explanation:
To enhance application availability and reduce maintenance-induced downtime, sending sensor data to Amazon Kinesis Data Firehose, processing it with an AWS Lambda function, converting it to Apache Parquet format, and storing it in Amazon S3 is an effective strategy. This approach leverages serverless architectures for scalability and reliability. Data analysts can then query the optimized data using Amazon Athena, a serverless interactive query service, which supports complex queries on data stored in S3 without the need for traditional database servers, optimizing operational overhead and costs.
AWS Documentation on AWS IoT Core, Amazon Kinesis Data Firehose, AWS Lambda, Amazon S3, and Amazon Athena provides a comprehensive framework for building a scalable, serverless data processing pipeline. This solution aligns with AWS best practices for processing and analyzing large-scale data streams efficiently.

NEW QUESTION # 625
A company needs to store and process image data that will be uploaded from mobile devices using a custom mobile app. Usage peaks between 8 AM and 5 PM on weekdays, with thousands of uploads per minute. The app is rarely used at any other time A user is notified when image processing is complete.
Which combination of actions should a solutions architect take to ensure image processing can scale to handle the load1? (Select THREE.)

A. Send a push notification to the mobile app by using Amazon Simple Email Service (Amazon SES) when processing is complete.
B. Upload files from the mobile software directly to Amazon S3. Use S3 event notifications to create a message in an Amazon MQ queue.
C. Invoke an AWS Lambda function to perform image processing when a message is available in the queue.
D. Send a push notification to the mobile app by using Amazon Simple Notification Service (Amazon SNS) when processing is complete.
E. Upload files from the mobile software directly to Amazon S3. Use S3 event notifications to create a message in an Amazon Simple Queue Service (Amazon SQS) standard queue.
F. Invoke an S3 Batch Operations job to perform image processing when a message is available in the queue.

Answer: C,D,E

Explanation:
https://docs.aws.amazon.com/AmazonS3/latest/userguide/batch-ops-basics.html

NEW QUESTION # 626
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