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SurePassExams has been designing and offering real Amazon AWS Certified Solutions Architect - Professional exam dumps for many years. We regularly update our valid Amazon AWS-Solutions-Architect-Professional certification test preparation material to keep them in line with the current AWS Certified Solutions Architect - Professional (AWS-Solutions-Architect-Professional) exam content and industry standards. Professionals from different countries give us their valuable feedback to refine AWS-Solutions-Architect-Professional actual dumps even more.
The AWS Certified Solutions Architect – Professional certification exam covers a wide range of topics, including advanced networking, data storage, security, and application deployment. Candidates are expected to have a deep understanding of AWS services and the ability to design and implement complex, multi-tier applications on the AWS platform.
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Amazon AWS Certified Solutions Architect - Professional Sample Questions (Q352-Q357):
NEW QUESTION # 352
A company runs a three-tier application in AWS. Users report that the application performance can vary greatly depending on the time of day and functionality being accessed.
The application includes the following components:
* Eight t2.large front-end web servers that serve static content and proxy dynamic content from the application tier.
* Four t2.large application servers.
* One db.m4.large Amazon RDS MySQL Multi-AZ DB instance.
Operations has determined that the web and application tiers are network constrained.
Which of the following should cost effective improve application performance? (Choose two.)
- A. Use AWS Auto Scaling and m4.large instances for the web and application tiers
- B. Create an Amazon CloudFront distribution to cache content
- C. Increase the size of the Amazon RDS instance to db.m4.xlarge
- D. Replace web and app tiers with t2.xlarge instances
- E. Convert the MySQL RDS instance to a self-managed MySQL cluster on Amazon EC2
Answer: A,B
NEW QUESTION # 353
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 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. - B. 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. - C. 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.
- D. 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.
Answer: A
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 # 354
A Solutions Architect has been given the following requirements for a company's VPC:
The solution is a two-tiered application with a web tier and a database tier.
All web traffic to the environment must be directed from the Internet to an Application Load Balancer.
The web servers and the databases should not obtain public IP addresses or be directly accessible
from the public Internet.
Because of security requirements, databases may not share a route table or subnet with any other
service.
The environment must be highly available within the same VPC for all services.
What is the minimum number of subnets that the Solutions Architect will need based on these
requirements and best practices?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: D
NEW QUESTION # 355
A company has more than 100 AWS accounts, with one VPC per account, that need outbound HTTPS connectivity to the internet. The current design contains one NAT gateway per Availability Zone (AZ) in each VPC. To reduce costs and obtain information about outbound traffic, management has asked for a new architecture for internet access.
Which solution will meet the current needs, and continue to grow as new accounts are provisioned, while reducing costs?
- A. Create a transit VPC across two AZs using a third-party routing appliance. Create a VPN connection to each VPC. Default route internet traffic to the transit VPC.
- B. Create a central VPC for outbound internet traffic. Use VPC peering to default route to a set of redundant NAT gateway in the central VPC.
- C. Create a proxy fleet in a central VPC account. Create an AWS PrivateLink endpoint service in the central VPC. Use PrivateLink interface for internet connectivity through the proxy fleet.
- D. Create multiple hosted-private AWS Direct Connect VIFs, one per account, each with a Direct Connect gateway. Default route internet traffic back to an on-premises router to route to the internet.
Answer: C
Explanation:
A: You can use VPC peering, there is no need to use VPN.
B: This will create unnecessary load on the Direct Connect and your on premise internet connection.
C: You cannot route traffic to a NAT gateway through a VPC peering connection, a Site-to-Site VPN connection, or AWS Direct Connect. A NAT gateway cannot be used by resources on the other side of these connections. https://docs.aws.amazon.com/vpc/latest/userguide/vpc-nat- gateway.html D: https://aws.amazon.com/blogs/networking-and-content-delivery/how-to-use-aws-privatelink-to- secure-and-scale-web-filtering-using-explicit-proxy/
NEW QUESTION # 356
A financial services company receives a regular data feed from its credit card servicing partner Approximately
5.000 records are sent every 15 minutes in plaintext, delivered over HTTPS directly into an Amazon S3 bucket with server-side encryption. This feed contains sensitive credit card primary account number (PAN) data The company needs to automatically mask the PAN before sending the data to another S3 bucket for additional internal processing. The company also needs to remove and merge specific fields, and then transform the record into JSON format Additionally, extra feeds are likely to be added in the future, so any design needs to be easily expandable.
Which solutions will meet these requirements?
- A. Create an AWS Glue crawler and custom classifier based on the data feed formats and build a table definition to match. Trigger an AWS Lambda function on file delivery to start an AWS Glue ETL job to transform the entire record according to the processing and transformation requirements. Define the output format as JSON. Once complete, have the ETL job send the results to another S3 bucket for internal processing.
- B. Create an AWS Glue crawler and custom classifier based upon the data feed formats and build a table definition to match. Perform an Amazon Athena query on file delivery to start an Amazon EMR ETL job to transform the entire record according to the processing and transformation requirements. Define the output format as JSON. Once complete, send the results to another S3 bucket for internal processing and scale down the EMR cluster.
- C. Trigger an AWS Lambda function on file delivery that extracts each record and writes it to an Amazon SQS queue. Configure an AWS Fargate container application to automatically scale to a single instance when the SQS queue contains messages. Have the application process each record, and transform the record into JSON format. When the queue is empty, send the results to another S3 bucket for internal processing and scale down the AWS Fargate instance.
- D. Trigger an AWS Lambda function on file delivery that extracts each record and writes it to an Amazon SQS queue. Trigger another Lambda function when new messages arrive in the SQS queue to process the records, writing the results to a temporary location in Amazon S3. Trigger a final Lambda function once the SQS queue is empty to transform the records into JSON format and send the results to another S3 bucket for internal processing.
Answer: A
Explanation:
Explanation
You can use a Glue crawler to populate the AWS Glue Data Catalog with tables. The Lambda function can be triggered using S3 event notifications when object create events occur. The Lambda function will then trigger the Glue ETL job to transform the records masking the sensitive data and modifying the output format to JSON. This solution meets all requirements.
Create an AWS Glue crawler and custom classifier based on the data feed formats and build a table definition to match. Trigger an AWS Lambda function on file delivery to start an AWS Glue ETL job to transform the entire record according to the processing and transformation requirements. Define the output format as JSON.
Once complete, have the ETL job send the results to another S3 bucket for internal processing.
https://docs.aws.amazon.com/glue/latest/dg/trigger-job.html
https://d1.awsstatic.com/Products/product-name/diagrams/product-page-diagram_Glue_Event-driven-ETL-Pipel
NEW QUESTION # 357
......
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