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SAA-C02 Exam Dumps - AWS Certified Solutions Architect - Associate (SAA-C03)

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Question # 41

A company hosts a data lake on AWS. The data lake consists of data in Amazon S3 and Amazon RDS for PostgreSQL. The company needs a reporting solution that provides data visualization and includes all the data sources within the data lake. Only the company's management team should have full access to all the visualizations. The rest of the company should have only limited access.

Which solution will meet these requirements?

Create an analysis in Amazon QuickSight. Connect all the data sources and create new datasets. Publish dashboards to visualize the data. Share the dashboards with the appropriate IAM roles.

Create an analysis in Amazon OuickSighl. Connect all the data sources and create new datasets. Publish dashboards to visualize the data. Share the dashboards with the appropriate users and groups.

Create an AWS Glue table and crawler for the data in Amazon S3. Create an AWS Glue extract, transform, and load (ETL) job to produce reports. Publish the reports to Amazon S3. Use S3 bucket policies to limit access to the reports.

Create an AWS Glue table and crawler for the data in Amazon S3. Use Amazon Athena Federated Query to access data within Amazon RDS for PoslgreSQL. Generate reports by using Amazon Athena.

Publish the reports to Amazon S3. Use S3 bucket policies to limit access to the reports.

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Question # 42

A company is launching a new application deployed on an Amazon Elastic Container Service (Amazon ECS) cluster and is using the Fargate launch type tor ECS tasks The company is monitoring CPU and memory usage because it is expecting high traffic to the application upon its launch However the company wants to reduce costs when utilization decreases

What should a solutions architect recommend?

Use Amazon EC2 Auto Scaling to scale at certain periods based on previous traffic patterns

Use an AWS Lambda function to scale Amazon ECS based on metric breaches that trigger an Amazon CloudWatch alarm

Use Amazon EC2 Auto Scaling with simple scaling policies to scale when ECS metric breaches trigger an Amazon CloudWatch alarm

Use AWS Application Auto Scaling with target tracking policies to scale when ECS metric breaches trigger an Amazon CloudWatch alarm

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Question # 43

A company stores millions of objects in Amazon S3. The data is in JSON format and Apache Parquet format. The data is partitioned and new objects are added daily. A solutions architect needs to create a solution so that employees can use SQL to perform one-time queries against all the data. The solution must avoid code changes and must minimize operational overhead.

Which solution will meet these requirements?

Use S3 Select to perform queries against all the S3 objects

Create an AWS Glue table and an AWS Glue crawler Schedule the crawler to run daily Perform queries with Amazon Athena

Create an Amazon EMR cluster Set up C. EMR File System (EMRFS) to access the S3 bucket Perform queries with Apache Spark

Create an Amazon Redshift cluster Schedule an AWS Lambda function to perform the COPY command on the Redshift cluster to load the S3 data Perform queries on the Redshift cluster.

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Question # 44

A company has deployed a server less application that invokes an AWS Lambda function when new documents are uploaded to an Amazon S3 bucket The application uses the Lambda function to process the documents After a recent marketing campaign the company noticed that the application did not process many of The documents

What should a solutions architect do to improve the architecture of this application?

Set the Lambda function's runtime timeout value to 15 minutes

Configure an S3 bucket replication policy Stage the documents m the S3 bucket for later processing

Deploy an additional Lambda function Load balance the processing of the documents across the two Lambda functions

Create an Amazon Simple Queue Service (Amazon SOS) queue Send the requests to the queue Configure the queue as an event source for Lambda.

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Question # 45

A company wants to measure the effectiveness of its recent marketing campaigns. The company performs batch processing on csv files of sales data and stores the results Â«i an Amazon S3 bucket once every hour. The S3 bi petabytes of objects. The company runs one-time queries in Amazon Athena to determine which products are most popular on a particular date for a particular region Queries sometimes fail or take longer than expected to finish.

Which actions should a solutions architect take to improve the query performance and reliability? (Select TWO.)

Reduce the S3 object sizes to less than 126 MB

Partition the data by date and region n Amazon S3

Store the files as large, single objects in Amazon S3.

Use Amazon Kinosis Data Analytics to run the Queries as pan of the batch processing operation

Use an AWS duo extract, transform, and load (ETL) process to convert the csv files into Apache Parquet format.

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Question # 46

Organizers for a global event want to put daily reports online as static HTML pages. The pages are expected to generate millions of views from users around the work. The files are stored in an Amazon S3 Ducket A solutions architect has been asked to design an efficient and effective solution

Which action should the solutions architect take to accomplish this?

Generate presigned URLs for the files

Use cross-Region replication to all Regions

Use the geoproximity feature of Amazon Route 53

Use Amazon CloudFront with the S3 bucket as its origin

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Question # 47

A company's ecommerce website has unpredictable traffic and uses AWS Lambda functions to directly access a private Amazon RDS for PostgreSQL DB instance. The company wants to maintain predictable database performance and ensure that the Lambda invocations do not overload the database with too many connections.

What should a solutions architect do to meet these requirements?

Point the client driver at an RDS custom endpoint Deploy the Lambda functions inside a VPC

Point the client driver at an RDS proxy endpoint Deploy the Lambda functions inside a VPC

Point the client driver at an RDS custom endpoint Deploy the Lambda functions outside a VPC

Point the client driver at an RDS proxy endpoint Deploy the Lambda functions outside a VPC

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Question # 48

A company runs an online ticketing application with backend services that run on Amazon EC2 instances. The EC2 instances belong to an Auto Scaling group and run behind an Application Load Balancer. The application experiences periods of high user traffic when a popular event is posted online. The company wants a solution that will be able to handle increases in user traffic without affecting the user experience.

What should a solutions architect do to meet these requirements?

Configure a scheduled scaling policy for peak hours with a recurrence schedule set to every day.

Configure a target tracking scaling policy that uses the average aggregate CPU utilization target metric.

Configure a step scaling policy that is based on an Amazon CloudWatch alarm that monitors CPU utilization.

Configure an Application Load Balancer health check that increases the Auto Scaling group capacity whenever the application returns HTTP 503 error codes.

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