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To prepare for the AWS-Solutions-Architect-Professional Exam, candidates must have a deep understanding of AWS services, architectures, and best practices. They must also have experience designing and deploying complex applications on AWS. AWS-Solutions-Architect-Professional exam consists of multiple-choice and multiple-response questions, and candidates have 180 minutes to complete it. The passing score for the exam is 750 out of 1000.

The AWS-Solutions-Architect-Professional (AWS Certified Solutions Architect - Professional) Certification Exam is a highly valued certification that indicates a deep understanding of AWS infrastructure and applications. AWS Certified Solutions Architect - Professional certification is designed for professionals who have significant experience in designing and deploying AWS-based applications and is recognized as a benchmark for AWS expertise. Passing this certification exam is a key step in advancing one's career in cloud computing and AWS.

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Amazon AWS Certified Solutions Architect - Professional Sample Questions (Q431-Q436):

NEW QUESTION # 431
A solutions architect is implementing a document review application using an Amazon S3 bucket for storage.
The solution must prevent an accidental deletion of the documents and ensure that all versions of the documents are available. Users must be able to download, modify, and upload documents.
Which combination of actions should be taken to meet these requirements? (Choose two.)

A. Attach an IAM policy to the bucket.
B. Enable versioning on the bucket.
C. Enable a read-only bucket ACL.
D. Encrypt the bucket using AWS KMS.
E. Enable MFA Delete on the bucket.

Answer: B,E

Explanation:
Explanation/Reference: https://aws.amazon.com/s3/features/

NEW QUESTION # 432
What is the maximum write throughput I can provision for a single Dynamic DB table?

A. 100,000 write capacity units
B. 1,000 write capacity units
C. Dynamic DB is designed to scale without limits, but if you go beyond 10,000 you have to contact AWS first.
D. 10,000 write capacity units

Answer: C

Explanation:
https://aws.amazon.com/dynamodb/faqs/

NEW QUESTION # 433
Your team has a tomcat-based java application you need to deploy into development, test and production environments. After some research, you opt to use Elastic Beanstalk due to its tight integration with your developer tools and RDS due to its ease of management. Your QA team lead points out that you need to roll a sanitized set of production data into your environment on a nightly basis. Similarly, other software teams in your org want access to that same restored data via their EC2 instances in your VPC. The optimal setup for persistence and security that meets the above requirements would be the following:

A. Create your RDS instance separately and pass its DNS name to your's DB connection string as an environment variable.
Alter its security group to allow access to it from hosts in your application subnets.
B. Create your RDS instance as part of your Elastic Beanstalk definition and alter its security group to allow access to it from hosts in your application subnets.
C. Create your RDS instance separately and pass its DNS name to your app's DB connection string as an environment variable.
Create a security group for client machines and add it as a valid source for DB traffic to the security group of the RDS instance itself.
D. Create your RDS instance separately and add its IP address to your application's DB connection strings in your code.
Alter its security group to allow access to it from hosts within your VPC's IP address block.

Answer: C

Explanation:
Elastic Beanstalk provides support for running Amazon RDS instances in your Elastic Beanstalk environment. This works great for development and testing environments, but is not ideal for a production environment because it ties the lifecycle of the database instance to the lifecycle of your application's environment.
http://docs.aws.amazon.com/elasticbeanstalk/latest/dg/AWSHowTo.RDS.html

NEW QUESTION # 434
A company wants to nitrate its data analytics environment from on premises to AWS. The environment consists of two simple Node.js applications. One of the applications collects sensor data ard loads it into a MySQL database The other application aggregates the data into reports. When the aggregation jobs run. some o' the load jobs fail to run correctly.
The company must resolve the cala loading issue. The company also needs the migration to occur without interruptions or changes for the company's customers.
What should a solutions architect do to meet those requirements?

A. Sel up an Amazon Aurora MySQL database. Use AWS Database Mig-alion Service (AWS DMS) to perform continuous data replication from the on-premises database to Aurora. Create an Aurora Replica for Ine Aurora MySQL database, and move the aggregation jobs to run against the Aurora Replica. Set up collection endpoints as AWS Lambda functions beninc an Application Load Balancer (ALB). and use Anazon RDS Proxy to write lo the Aurora MySQL database. When the databases are synced, point tno oolleclo' DNS record to Ine ALB. Disable the AWS DMS sync task alter the culovef from on premises to AWS.
B. Set up an Amazon Aurora MySQL database as a replication target for the on-premises database Create an Aurora Replica for the Aurora MySQL database, and move the aggregation jobs lo run against too Aurora Replica. Set up collection endpoints as AWS Lambda functions behind a Network Load Balancer (NLB), and use Amazon RDS Proxy lo write lo the Aurora MySQL database When the databases are synced. disable the replication job and restart the Aurora Replica as the primary instance. Point the collector DNS record to the NLB.
C. Set up an Amazon Aurora MySQL database Use AWS Database Migration Service (AWS DMS) to perform continuous data replication from the on-prermises database to Aurora. Move the aggregation jobs to run against the Aurora MySQL database. Set up collodion endpoints behind an Application Load Balancer (ALB1 as Amazon EC2 instances in an Auto Scaling group. When the databases arc synced, point the collector DNS record to the ALB. Disable the AWS DMS sync task after the cutover from on premises to AWS.
D. Sot up an Amazon Aurora MySQL database. Create an Aurora Replica for the Aurora MySQL database, and move the aggregation jobs to run against the Aurora Replica. Set up collection endpoints as an Amazon Kinesis data stream. Use Amazon Kinesis Data Firehose to replicate the data to the Aurora MySQL database. When the databases are synced, disable the replication job and restart the Aurora Replica as the primary instance. Point the collector DNS record lo the Kineses data stream.

Answer: B

NEW QUESTION # 435
Your firm has uploaded a large amount of aerial image data to S3 In the past, in your on-premises
environment, you used a dedicated group of servers to oaten process this data and used Rabbit MQ - An
open source messaging system to get job information to the servers. Once processed the data would go
to tape and be shipped offsite. Your manager told you to stay with the current design, and leverage AWS
archival storage and messaging services to minimize cost. Which is correct?

A. Setup Auto-Scaled workers triggered by queue depth that use spot instances to process messages in
SOS Once data is processed,
B. Use SQS for passing job messages use Cloud Watch alarms to terminate EC2 worker instances when
they become idle. Once data is processed, change the storage class of the S3 objects to Reduced
Redundancy Storage.
C. Use SNS to pass job messages use Cloud Watch alarms to terminate spot worker instances when they
become idle. Once data is processed, change the storage class of the S3 object to Glacier.
D. Change the storage class of the S3 objects to Reduced Redundancy Storage. Setup Auto-Scaled
workers triggered by queue depth that use spot instances to process messages in SQS Once data is
processed, change the storage class of the S3 objects to Glacier.

Answer: C

NEW QUESTION # 436
......

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