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Amazon AWS-Solutions-Architect-Professional Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Design for New Solutions	29%	- Application architecture design on AWS services - High availability and fault-tolerant architectures - Storage and database selection for workloads
Topic 2: Continuous Improvement for Existing Solutions	25%	- Performance tuning and cost optimization - Security and resilience improvements - Optimization of existing workloads
Topic 3: Accelerate Workload Migration and Modernization	20%	- Modernization using cloud-native services - Migration strategies (rehost, replatform, refactor) - Data and application migration planning
Topic 4: Design Solutions for Organizational Complexity	26%	- Multi-account architecture design - Identity and access management at scale - Network connectivity strategies (hybrid and multi-VPC)

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Amazon AWS Certified Solutions Architect - Professional Sample Questions (Q313-Q318):

NEW QUESTION # 313
An organization has a write-intensive mobile application that uses Amazon API Gateway, AWS Lambda, and Amazon DynamoDB. The application has scaled well, however, costs have increased exponentially because of higher than anticipated Lambda costs. The application's use is unpredictable, but there has been a steady 20% increase in utilization every month.
While monitoring the current Lambda functions, the Solutions Architect notices that the execution-time averages 4.5 minutes. Most of the wait time is the result of a high-latency network call to a 3-TB MySQL database server that is on-premises. A VPN is used to connect to the VPC, so the Lambda functions have been configured with a five-minute timeout.
How can the Solutions Architect reduce the cost of the current architecture?

A. Replace the VPN with AWS Direct Connect to reduce the network latency to the on-premises MySQL database.Cache the API Gateway results to Amazon CloudFront.Use Amazon EC2 Reserved Instances instead of Lambda.Enable Auto Scaling on EC2, and use Spot Instances during peak times.Enable DynamoDB Auto Scaling to manage target utilization.
B. Replace the VPN with AWS Direct Connect to reduce the network latency to the on-premises MySQL database.Enable local caching in the mobile application to reduce the Lambda function invocation calls.Monitor the Lambda function performance; gradually adjust the timeout and memory properties to lower values while maintaining an acceptable execution time.Offload the frequently accessed records from DynamoDB to Amazon ElastiCache.
C. Migrate the MySQL database server into a Multi-AZ Amazon RDS for MySQL.Enable caching of the Amazon API Gateway results in Amazon CloudFront to reduce the number of Lambda function invocations.Monitor the Lambda function performance; gradually adjust the timeout and memory properties to lower values while maintaining an acceptable execution time.Enable DynamoDB Accelerator for frequently accessed records, and enable the DynamoDB Auto Scaling feature.
D. Migrate the MySQL database server into a Multi-AZ Amazon RDS for MySQL.Enable API caching on API Gateway to reduce the number of Lambda function invocations.Continue to monitor the AWS Lambda function performance; gradually adjust the timeout and memory properties to lower values while maintaining an acceptable execution time.Enable Auto Scaling in DynamoDB.

Answer: D

NEW QUESTION # 314
A company receives clickstream data files to Amazon S3 every five minutes. A Python script runs as a cron job once a day on an Amazon EC2 instance to process each file and load it into a database hosted on Amazon RDS. The cron job takes 15 to 30 minutes to process 24 hours of dat a. The data consumers ask for the data be available as soon as possible.
Which solution would accomplish the desired outcome?

A. Convert the cron job to an AWS Lambda function and trigger this new function using a cron job on an EC2 instance.
B. Increase the size of the instance to speed up processing and update the schedule to run once an hour.
C. Create an AWS Lambda function that runs when a file is delivered to Amazon S3 using S3 event notifications.
D. Convert the cron job to an AWS Lambda function and schedule it to run once an hour using Amazon CloudWatch events.

Answer: C

Explanation:
https://docs.aws.amazon.com/lambda/latest/dg/with-s3.html

NEW QUESTION # 315
An enterprise company's data science team wants to provide a safe, cost-effective way to provide easy access to Amazon SageMaker. The data scientists have limited AWS knowledge and need to be able to launch a Jupyter notebook instance. The notebook instance needs to have a preconfigured AWS KMS key to encrypt data at rest on the machine learning storage volume without exposing the complex setup requirements.
Which approach will allow the company to set up a self-service mechanism for the data scientists to launch Jupyter notebooks in its AWS accounts with the LEAST amount of operational overhead?

A. Create an AWS CloudFormation template to launch a Jupyter notebook instance using the AWS::SaqeMaker::Notebooklnstance resource type with a preconfigured KMS key. Add a user-friendly name to the CloudFormation template. Display the URL to the notebook using the Outputs section.
Distribute the CloudFormation template to the data scientists using a shared Amazon S3 bucket.
B. Create an AWS CLI script that the data scientists can run locally. Provide step-by-step instructions about the parameters to be provided while executing the AWS CLI script to launch a Jupyter notebook with a preconfigured KMS key. Distribute the CLI script to the data scientists using a shared Amazon S3 bucket.
C. Create an AWS CloudFormation template to launch a Jupyter notebook instance using the AWS::SageMaker::Notebooklnstance resource type with a preconfigured KMS key. Simplify the parameter names, such as the instance size, by mapping them to Small, Large, and X-Large using the Mappings section in CloudFormation. Display the URL to the notebook using the Outputs section, then upload the template into an AWS Service Catalog product in the data scientist's portfolio, and share it with the data scientist's 1AM role.
D. Create a serverless front end using a static Amazon S3 website to allow the data scientists to request a Jupyter notebook instance by filling out a form. Use Amazon API Gateway to receive requests from the S3 website and trigger a central AWS Lambda function to make an API call to Amazon SageMaker that launch a notebook instance with a preconfigured KMS key for the data scientists. Then call back to the front-end website to display the URL to the notebook instance.

Answer: A

NEW QUESTION # 316
A company's service for video game recommendations has just gone viral The company has new users from all over the world The website for the service is hosted on a set of Amazon EC2 instances in an Auto Scaling group behind an Application Load Balancer (ALB). The website consists of static content with different resources being loaded depending on the device type.
Users recently reported that the load time for the website has increased Administrators are reporting high loads on the EC2 instances that host the service.
Which set actions should a solutions architect take to improve response times?

A. Create a separate ALB for each device type. Create one Auto Scaling group behind each ALB Use Amazon Route 53 to route to different ALBs depending on the User-Agent HTTP header
B. Move content to Amazon S3 Create an Amazon CloudFront distribution to serve content out of the S3 bucket Use the User-Agent HTTP header to load different content
C. Move content to Amazon S3 Create an Amazon CloudFront distribution to serve content out of the S3 bucket Use Lambda@Edge to load different resources based on the User-Agent HTTP header
D. Create separate Auto Scaling groups based on device types Switch to a Network Load Balancer (NLB) Use the User-Agent HTTP header in the NLB to route to a different set of EC2 instances.

Answer: C

NEW QUESTION # 317
One of your AWS Data Pipeline activities has failed consequently and has entered a hard failure state after retrying thrice.
You want to try it again. Is it possible to increase the number of automatic retries to more than thrice?

A. Yes, you can increase the number of automatic retries to 6.
B. No, you cannot increase the number of automatic retries.
C. Yes, you can increase the number of automatic retries to 10.
D. Yes, you can increase the number of automatic retries to indefinite number.

Answer: C

Explanation:
In AWS Data Pipeline, an activity fails if all of its activity attempts return with a failed state. By default, an activity retries three times before entering a hard failure state. You can increase the number of automatic retries to 10. However, the system does not allow indefinite retries.
https://aws.amazon.com/datapipeline/faqs/

NEW QUESTION # 318
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