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NEW QUESTION 29
A company needs to configure a real-time data ingestion architecture for its application. The company needs an API, a process that transforms data as the data is streamed, and a storage solution for the data.
Which solution will meet these requirements with the LEAST operational overhead?

• A. Deploy an Amazon EC2 instance to host an API that sends data to AWS Glue. Stop source/destination checking on the EC2 instance. Use AWS Glue to transform the data and to send the data to Amazon S3.
• B. Deploy an Amazon EC2 instance to host an API that sends data to an Amazon Kinesis data stream.
  Create an Amazon Kinesis Data Firehose delivery stream that uses the Kinesis data stream as a data source. Use AWS Lambda functions to transform the data. Use the Kinesis Data Firehose delivery stream to send the data to Amazon S3.
• C. Configure an Amazon API Gateway API to send data to an Amazon Kinesis data stream. Create an Amazon Kinesis Data Firehose delivery stream that uses the Kinesis data stream as a data source. Use AWS Lambda functions to transform the data. Use the Kinesis Data Firehose delivery stream to send the data to Amazon S3.
• D. Configure an Amazon API Gateway API to send data to AWS Glue. Use AWS Lambda functions to transform the data. Use AWS Glue to send the data to Amazon S3.

Answer: C

NEW QUESTION 30
A tech company is having an issue whenever they try to connect to the newly created EC2 instance using a Remote Desktop connection from a computer. Upon checking, the Solutions Architect has verified that the instance has a public IP and the Internet gateway and route tables are in place.
What else should he do to resolve this issue?

• A. Adjust the security group to allow inbound traffic on port 22 from the company's IP address.
• B. Adjust the security group to allow inbound traffic on port 3389 from the company's IP address.
• C. You should restart the EC2 instance since there might be some issue with the instance
• D. You should create a new instance since there might be some issue with the instance

Answer: B

Explanation:
Since you are using a Remote Desktop connection to access your EC2 instance, you have to ensure that the Remote Desktop Protocol is allowed in the security group. By default, the server listens on TCP port 3389 and UDP port 3389.

Hence, the correct answer is: Adjust the security group to allow inbound traffic on port 3389 from the company's IP address.
The option that says: Adjust the security group to allow inbound traffic on port 22 from the company's IP address is incorrect as port 22 is used for SSH connections and not for RDP.
The options that say: You should restart the EC2 instance since there might be some issue with the instance and You should create a new instance since there might be some issue with the instance are incorrect as the EC2 instance is newly created and hence, unlikely to cause the issue. You have to check the security group first if it allows the Remote Desktop Protocol (3389) before investigating if there is indeed an issue on the specific instance.
Explanation:
Reference:
https://docs.aws.amazon.com/AWSEC2/latest/WindowsGuide/troubleshooting-windows-instances.html#rdp-issues
https://docs.aws.amazon.com/vpc/latest/userguide/VPC_SecurityGroups.html
Check out this Amazon EC2 Cheat Sheet:
https://tutorialsdojo.com/amazon-elastic-compute-cloud-amazon-ec2/

NEW QUESTION 31
A company has an OLTP (Online Transactional Processing) application that is hosted in an Amazon ECS cluster using the Fargate launch type. It has an Amazon RDS database that stores data of its production website. The Data Analytics team needs to run queries against the database to track and audit all user transactions. These query operations against the production database must not impact application performance in any way.
Which of the following is the MOST suitable and cost-effective solution that you should implement?

• A. Set up a new Amazon RDS Read Replica of the production database. Direct the Data Analytics team to query the production data from the replica.
• B. Set up a Multi-AZ deployments configuration of your production database in RDS. Direct the Data Analytics team to query the production data from the standby instance.
• C. Upgrade the instance type of the RDS database to a large instance.
• D. Set up a new Amazon Redshift database cluster. Migrate the product database into Redshift and allow the Data Analytics team to fetch data from it.

Answer: A

Explanation:
Amazon RDS Read Replicas provide enhanced performance and durability for database (DB) instances.
This feature makes it easy to elastically scale out beyond the capacity constraints of a single DB instance for read-heavy database workloads.
You can create one or more replicas of a given source DB Instance and serve high-volume application read traffic from multiple copies of your data, thereby increasing aggregate read throughput. Read replicas can also be promoted when needed to become standalone DB instances. Read replicas are available in Amazon RDS for MySQL, MariaDB, Oracle and PostgreSQL, as well as Amazon Aurora.

You can reduce the load on your source DB instance by routing read queries from your applications to the read replica. These replicas allow you to elastically scale out beyond the capacity constraints of a single DB instance for read-heavy database workloads.
Because read replicas can be promoted to master status, they are useful as part of a sharding implementation. To shard your database, add a read replica and promote it to master status, then, from each of the resulting DB Instances, delete the data that belongs to the other shard.
Hence, the correct answer is: Set up a new Amazon RDS Read Replica of the production database.
Direct the Data Analytics team to query the production data from the replica.
The option that says: Set up a new Amazon Redshift database cluster. Migrate the product database into Redshift and allow the Data Analytics team to fetch data from it is incorrect because Redshift is primarily used for OLAP (Online Analytical Processing) applications and not for OLTP.
The option that says: Set up a Multi-AZ deployments configuration of your production database in RDS.
Direct the Data Analytics team to query the production data from the standby instance is incorrect because you can't directly connect to the standby instance. This is only used in the event of a database failover when your primary instance encountered an outage.
The option that says: Upgrade the instance type of the RDS database to a large instance is incorrect because this entails a significant amount of cost. Moreover, the production database could still be affected by the queries done by the Data Analytics team. A better solution for this scenario is to use a Read Replica instead.
References:
https://aws.amazon.com/caching/database-caching/
https://aws.amazon.com/rds/details/read-replicas/
https://aws.amazon.com/elasticache/
Check out this Amazon RDS Cheat Sheet:
https://tutorialsdojo.com/amazon-relational-database-service-amazon-rds/

NEW QUESTION 32
......

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