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AWS-Solutions-Architect-Professional Free Exam & Dumps AWS-Solutions-Architect-Professional Free Download

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Amazon AWS Certified Solutions Architect - Professional Sample Questions (Q39-Q44):

NEW QUESTION # 39
A flood monitoring agency has deployed more than 10.000 water-level monitoring sensors. Sensors send continuous data updates, and each update is less than 1 MB in size. The agency has a fleet of on-premises application servers. These servers receive upda.es 'on the sensors, convert the raw data into a human readable format, and write the results loan on-premises relational database server. Data analysts then use simple SOL queries to monitor the data.
The agency wants to increase overall application availability and reduce the effort that is required to perform maintenance tasks These maintenance tasks, which include updates and patches to the application servers, cause downtime. While an application server is down, data is lost from sensors because the remaining servers cannot handle the entire workload.
The agency wants a solution that optimizes operational overhead and costs. A solutions architect recommends the use of AWS loT Core to collect the sensor data.
What else should the solutions architect recommend to meet these requirements?

A. Send the sensor data to an Amazon Managed Service for Apache Flink {previously known as Amazon Kinesis Data Analytics) application to convert the data to .csv format and store it in an Amazon S3 bucket. Import the data into an Amazon Aurora MySQL DB instance. Instruct the data analysts to query the data directly from the DB instance.
B. Send the sensor data to Amazon Kinesis Data Firehose. Use an AWS Lambda function to read the Kinesis Data Firehose data, convert it to .csv format, and insert it into an Amazon Aurora MySQL DB instance. Instruct the data analysts to query the data directly from the DB instance.
C. Send the sensor data to an Amazon Managed Service for Apache Flink (previously known as Amazon Kinesis Data Analytics) application to convert the data to Apache Parquet format and store it in an Amazon S3 bucket Instruct the data analysis to query the data by using Amazon Athena.
D. Send the sensor data to Amazon Kinesis Data Firehose. Use an AWS Lambda function to read the Kinesis Data Firehose data, convert it to Apache Parquet format and save it to an Amazon S3 bucket.
Instruct the data analysts to query the data by using Amazon Athena.

Answer: D

Explanation:
To enhance application availability and reduce maintenance-induced downtime, sending sensor data to Amazon Kinesis Data Firehose, processing it with an AWS Lambda function, converting it to Apache Parquet format, and storing it in Amazon S3 is an effective strategy. This approach leverages serverless architectures for scalability and reliability. Data analysts can then query the optimized data using Amazon Athena, a serverless interactive query service, which supports complex queries on data stored in S3 without the need for traditional database servers, optimizing operational overhead and costs.
References: AWS Documentation on AWS IoT Core, Amazon Kinesis Data Firehose, AWS Lambda, Amazon S3, and Amazon Athena provides a comprehensive framework for building a scalable, serverless data processing pipeline. This solution aligns with AWS best practices for processing and analyzing large-scale data streams efficiently.

NEW QUESTION # 40
A company's web application uses an Amazon RDS PostgreSQL DB instance to store its application data.
During the financial closing period at the start of every month. Accountants run large queries that impact the database's performance due to high usage. The company wants to minimize the impact that the reporting activity has on the web application.
What should a solutions architect do to reduce the impact on the database with the LEAST amount of effort?

A. Create a cross-Region read replica and direct reporting traffic to the replica.
B. Create a Multi-AZ database and direct reporting traffic to the standby.
C. Create an Amazon Redshift database and direct reporting traffic to the Amazon Redshift database.
D. Create a read replica and direct reporting traffic to the replica.

Answer: D

Explanation:
Explanation/Reference:

NEW QUESTION # 41
A user is planning to use EBS for his DB requirement. The user already has an EC2 instance running in the VPC private subnet.
How can the user attach the EBS volume to a running instance?

A. The user can specify the same subnet while creating EBS and then attach it to a running instance.
B. The user must create EBS within the same VPC and then attach it to a running instance.
C. The user can create EBS in the same zone as the subnet of instance and attach that EBS to instance.
D. It is not possible to attach an EBS to an instance running in VPC until the instance is stopped.

Answer: C

Explanation:
A Virtual Private Cloud (VPC) is a virtual network dedicated to the user's AWS account. The user can create subnets as per the requirement within a VPC. The VPC is always specific to a region.
The user can create a VPC which can span multiple Availability Zones by adding one or more subnets in each Availability Zone.
The instance launched will always be in the same availability zone of the respective subnet.
When creating an EBS the user cannot specify the subnet or VPC. However, the user must create the EBS in the same zone as the instance so that it can attach the EBS volume to the running instance.
http://docs.aws.amazon.com/AmazonVPC/latest/UserGuide/VPC_Subnets.html#VPCSubnet

NEW QUESTION # 42
In Amazon ElastiCache, the failure of a single cache node can have an impact on the availability of your application and the load on your back-end database while ElastiCache provisions a replacement for the failed cache node and it get repopulated.
Which of the following is a solution to reduce this potential availability impact?

A. Include a larger number of cache nodes, each with high capacity.
B. Spread your memory and compute capacity over fewer number of cache nodes, each with smaller capacity.
C. Spread your memory and compute capacity over a larger number of cache nodes, each with smaller capacity.
D. Include fewer number of high capacity nodes.

Answer: C

Explanation:
Explanation
In Amazon ElastiCache, the number of cache nodes in the cluster is a key factor in the availability of your cluster running Memcached. The failure of a single cache node can have an impact on the availability of your application and the load on your back-end database while ElastiCache provisions a replacement for the failed cache node and it get repopulated.
You can reduce this potential availability impact by spreading your memory and compute capacity over a larger number of cache nodes, each with smaller capacity, rather than using a fewer number of high capacity nodes.
http://docs.aws.amazon.com/AmazonElastiCache/latest/UserGuide/CacheNode.Memcached.html

NEW QUESTION # 43
In DynamoDB, a projection is ______.

A. systematic transformation of the latitudes and longitudes of the locations inside your table
B. importing data from your file to a table
C. exporting data from a table to your file
D. the set of attributes that is copied from a table into a secondary index

Answer: D

Explanation:
In DynamoDB, a projection is the set of attributes that is copied from a table into a secondary index.
http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/GSI.html

NEW QUESTION # 44
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