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A solutions architect is developing a multiple-subnet VPC architecture. The solution will consist of six subnets in two Availability Zones. The subnets are defined as public, private and dedicated for databases. Only the Amazon EC2 instances running in the private subnets should be able to access a database. Which solution meets these requirements?
A company creates operations data and stores the data in an Amazon S3 bucket for the company's annual audit, an external consultant needs to access an annual report that is stored in the S3 bucket. The external consultant needs to access the report for 7 days. The company must implement a solution to allow the external consultant access to only the report. Which solution will meet these requirements with the MOST operational efficiency?
A development team uses multiple AWS accounts for its development, staging, and production environments. Team members have been launching large Amazon EC2 instances that are underutilized. A solutions architect must prevent large instances from being launched in all accounts. How can the solutions architect meet this requirement with the LEAST operational overhead?
A company stores data in an on-premises Oracle relational database. The company needs to make the data available in Amazon Aurora PostgreSQL for analysis The company uses an AWS Site-to-Site VPN connection to connect its on-premises network to AWS. The company must capture the changes that occur to the source database during the migration to Aurora PostgreSQL. Which solution will meet these requirements?
A company stores customer data in a multitenant Amazon S3 bucket. Each customer's data is stored in a prefix that is unique to the customer. The company needs to migrate data for specific customers to a new. dedicated S3 bucket that is in the same AWS Region as the source bucket. The company must preserve object metadata such as creation date and version IDs. After the migration is finished, the company must delete the source data for the migrated customers from the original multitenant S3 bucket. Which combination of solutions will meet these requirements with the LEAST overhead? (Select THREE.)
A company hosts its multi-tier, public web application in the AWS Cloud. The web application runs on Amazon EC2 instances, and its database runs on Amazon RDS. The company is anticipating a large increase in sales during an upcoming holiday weekend. A solutions architect needs to build a solution to analyze the performance of the web application with a granularity of no more than 2 minutes. What should the solutions architect do to meet this requirement?
A company is implementing a new application on AWS. The company will run the application on multiple Amazon EC2 instances across multiple Availability Zones within multiple AWS Regions. The application will be available through the internet. Users will access the application from around the world. The company wants to ensure that each user who accesses the application is sent to the EC2 instances that are closest to the user's location. Which solution will meet these requirements?
A company hosts a web application on multiple Amazon EC2 instances The EC2 instances are in an Auto Scaling group that scales in response to user demand The company wants to optimize cost savings without making a long-term commitment Which EC2 instance purchasing option should a solutions architect recommend to meet these requirements'?
A company recently signed a contract with an AWS Managed Service Provider (MSP) Partner for help with an application migration initiative. A solutions architect needs to share an Amazon Machine Image (AMI) from an existing AWS account with the MSP Partner's AWS account. The AMI is backed by Amazon Elastic Block Store (Amazon EBS) and uses a customer managed customer master key (CMK) to encrypt EBS volume snapshots. What is the MOST secure way for the solutions architect to share the AMI with the MSP Partner's AWS account?
A financial services company plans to launch a new application on AWS to handle sensitive financial transactions. The company will deploy the application on Amazon EC2 instances. The company will use Amazon RDS for MySQL as the database. The company's security policies mandate that data must be encrypted at rest and in transit. Which solution will meet these requirements with the LEAST operational overhead?

Question 646 - SAA-C03 discussion

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A company has stored 10 TB of log files in Apache Parquet format in an Amazon S3 bucket The company occasionally needs to use SQL to analyze the log files Which solution will meet these requirements MOST cost-effectively?

A.
Create an Amazon Aurora MySQL database Migrate the data from the S3 bucket into Aurora by using AWS Database Migration Service (AWS DMS) Issue SQL statements to the Aurora database.
Answers
A.
Create an Amazon Aurora MySQL database Migrate the data from the S3 bucket into Aurora by using AWS Database Migration Service (AWS DMS) Issue SQL statements to the Aurora database.
B.
Create an Amazon Redshift cluster Use Redshift Spectrum to run SQL statements directly on the data in the S3 bucket
Answers
B.
Create an Amazon Redshift cluster Use Redshift Spectrum to run SQL statements directly on the data in the S3 bucket
C.
Create an AWS Glue crawler to store and retrieve table metadata from the S3 bucket Use Amazon Athena to run SQL statements directly on the data in the S3 bucket
Answers
C.
Create an AWS Glue crawler to store and retrieve table metadata from the S3 bucket Use Amazon Athena to run SQL statements directly on the data in the S3 bucket
D.
Create an Amazon EMR cluster Use Apache Spark SQL to run SQL statements directly on the data in the S3 bucket
Answers
D.
Create an Amazon EMR cluster Use Apache Spark SQL to run SQL statements directly on the data in the S3 bucket
Suggested answer: C

Explanation:

AWS Glue is a serverless data integration service that can crawl, catalog, and prepare data for analysis. AWS Glue can automatically discover the schema and partitioning of the data stored in Apache Parquet format in S3, and create a table in the AWS Glue Data Catalog. Amazon Athena is a serverless interactive query service that can run SQL queries directly on data in S3, without requiring any data loading or transformation. Athena can use the table metadata from the AWS Glue Data Catalog to query the data in S3. By using AWS Glue and Athena, you can analyze the log files in S3 most cost-effectively, as you only pay for the resources consumed by the crawler and the queries, and you do not need to provision or manage any servers or clusters.

AWS Glue

Amazon Athena

Analyzing Data in S3 using Amazon Athena

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asked 16/09/2024
Levente Mikofalvi
29 questions
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