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Amazon AWS Certified Solutions Architect - Professional Sample Questions (Q220-Q225):

NEW QUESTION # 220
Within an IAM policy, can you add an IfExists condition at the end of a Null condition?

• A. Yes, you can add an IfExists condition at the end of a Null condition.
• B. Yes, you can add an IfExists condition at the end of a Null condition but not in all Regions.
• C. No, you cannot add an IfExists condition at the end of a Null condition.
• D. Yes, you can add an IfExists condition at the end of a Null condition depending on the condition.

Answer: C Explanation:
Explanation
Within an IAM policy, IfExists can be added to the end of any condition operator except the Null condition. It can be used to indicate that conditional comparison needs to happen if the policy key is present in the context of a request; otherwise, it can be ignored.
http://docs.aws.amazon.com/IAM/latest/UserGuide/referencepolicieselements.html
NEW QUESTION # 221
Your company has an on-premises multi-tier PHP web application, which recently experienced downtime
due to a large burst In web traffic due to a company announcement Over the coming days, you are
expecting similar announcements to drive similar unpredictable bursts, and are looking to find ways to
quickly improve your infrastructures ability to handle unexpected increases in traffic.
The application currently consists of 2 tiers a web tier which consists of a load balancer and several Linux
Apache web servers as well as a database tier which hosts a Linux server hosting a MySQL database.
Which scenario below will provide full site functionality, while helping to improve the ability of your
application in the short timeframe required?

• A. Offload traffic from on-premises environment: Setup a CIoudFront distribution, and configure
  CloudFront to cache objects from a custom origin. Choose to customize your object cache behavior, and
  select a TTL that objects should exist in cache.
• B. Hybrid environment: Create an AMI, which can be used to launch web servers in EC2. Create an Auto
  Scaling group, which uses the AMI to scale the web tier based on incoming traffic. Leverage Elastic Load
  Balancing to balance traffic between on-premises web servers and those hosted In AWS.
• C. Failover environment: Create an S3 bucket and configure it for website hosting. Migrate your DNS to
  Route53 using zone file import, and leverage Route53 DNS failover to failover to the S3 hosted website.
• D. Migrate to AWS: Use VM Import/Export to quickly convert an on-premises web server to an AMI.
  Create an Auto Scaling group, which uses the imported AMI to scale the web tier based on incoming
  traffic. Create an RDS read replica and setup replication between the RDS instance and on-premises
  MySQL server to migrate the database.

Answer: A
NEW QUESTION # 222
A company is running a web application with On-Demand Amazon EC2 instances in Auto Scaling groups that scale dynamically based on custom metrics After extensive testing the company determines that the m5
2xlarge instance size is optimal for the workload Application data is stored in db r4 4xlarge Amazon RDS instances that are confirmed to be optimal The traffic to the web application spikes randomly during the day What other cost-optimization methods should the company implement to further reduce costs without impacting the reliability of the application?

• A. Double the instance count in the Auto Scaling groups and reduce the instance size to m5 large
• B. Reserve capacity for all EC2 instances and leverage Spot Instance pricing for the RDS database
• C. Reserve capacity for the RDS database and the minimum number of EC2 instances that are constantly running
• D. Reduce the RDS instance size to db r4 xlarge and add five equivalents sized read replicas to provide reliability

Answer: C
NEW QUESTION # 223
A customer has a 10 GB AWS Direct Connect connection to an AWS region where they have a web application hosted on Amazon Elastic Computer Cloud (EC2). The application has dependencies on an on-premises mainframe database that uses a BASE (Baste Available, Soft state, Eventual consistency) rather than an ACID (Atomicity, Consistency, Isolation, Durability) consistency model. The application is exhibiting undesirable behavior because the database is not able to handle the volume of writes. How can you reduce the load on your on-premises database resources in the most cost-effective way?

• A. Modify the application to write to an Amazon SQS queue and develop a worker process to flush the queue to the on-premises database.
• B. Use an Amazon Elastic Map Reduce (EMR) S3DistCp as a synchronization mechanism between the on- premises database and a Hadoop cluster on AWS.
• C. Modify the application to use DynamoDB to feed an EMR cluster which uses a map function to write to the on-premises database.
• D. Provision an RDS read-replica database on AWS to handle the writes and synchronize the two databases using Data Pipeline.

Answer: A Explanation:
https://aws.amazon.com/sqs/faqs/
NEW QUESTION # 224
A company that tracks medical devices in hospitals wants to migrate its existing storage solution to the AWS Cloud. The company equips all of its devices with sensors that collect location and usage information. This sensor data is sent in unpredictable patterns with large spikes. The data is stored in a MySQL database running on premises at each hospital. The company wants the cloud storage solution to scale with usage.
The company's analytics team uses the sensor data to calculate usage by device type and hospital. The team needs to keep analysis tools running locally while fetching data from the cloud. The team also needs to use existing Java application and SQL queries with as few changes as possible.
How should a solutions architect meet these requirements while ensuring the sensor data is secure?

• A. Store the data in an Amazon S3 bucket. Serve the data through Amazon QuickSight using an 1AM user authorized with AWS Identity and Access Management (1AM) with the S3 bucket as the data source.
• B. Store the data in an Amazon Aurora Serverless database. Serve the data through a Network Load Balancer (NLB). Authenticate users using the NLB with credentials stored in AWS Secrets Manager.
• C. Store the data in an Amazon Aurora Serverless database. Serve the data through the Aurora Data API using an 1AM user authorized with AWS Identity and Access Management (1AM) and the AWS Secrets Manager ARN.
• D. Store the data in an Amazon S3 bucket. Serve the data through Amazon Athena using AWS PrivateLink to secure the data in transit.

Answer: B
NEW QUESTION # 225
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