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A medical company is building a data lake on Amazon S3. The data must be encrypted in transit and at rest. The data must remain protected even if S3 bucket is inadvertently made public. Which combination of steps will meet these requirements? (Choose three.)
A company is developing a gene reporting device that will collect genomic information to assist researchers will collecting large samples of data from a diverse population. The device will push 8 KB of genomic data every second to a data platform that will need to process and analyze the data and provide information back to researchers. The data platform must meet the following requirements: Provide near-real-time analytics of the inbound genomic data Ensure the data is flexible, parallel, and durable Deliver results of processing to a data warehouse Which strategy should a solutions architect use to meet these requirements?
A solutions architect needs to advise a company on how to migrate its on-premises data processing application to the AWS Cloud. Currently, users upload input files through a web portal. The web server then stores the uploaded files on NAS and messages the processing server over a message queue. Each media file can take up to 1 hour to process. The company has determined that the number of media files awaiting processing is significantly higher during business hours, with the number of files rapidly declining after business hours. What is the MOST cost-effective migration recommendation?
An online e-commerce business is running a workload on AWS. The application architecture includes a web tier, an application tier for business logic, and a database tier for user and transactional data management. The database server has a 100 GB memory requirement. The business requires cost-efficient disaster recovery for the application with an RTO of 5 minutes and an RPO of 1 hour. The business also has a regulatory for out-of-region disaster recovery with a minimum distance between the primary and alternate sites of 250 miles. Which of the following options can the Solutions Architect design to create a comprehensive solution for this customer that meets the disaster recovery requirements?
A Solutions Architect is migrating a 10 TB PostgreSQL database to Amazon RDS for PostgreSQL. The company’s internet link is 50 MB with a VPN in the Amazon VPC, and the Solutions Architect needs to migrate the data and synchronize the changes before the cutover. The cutover must take place within an 8-day period. What is the LEAST complex method of migrating the database securely and reliably?
For AWS CloudFormation, which stack state refuses UpdateStack calls?
A company is hosting a critical application on a single Amazon EC2 instance. The application uses an Amazon ElastiCache for Redis single-node cluster for an in-memory data store. The application uses an Amazon RDS for MariaDB DB instance for a relational database. For the application to function, each piece of the infrastructure must be healthy and must be in an active state. A solutions architect needs to improve the application's architecture so that the infrastructure can automatically recover from failure with the least possible downtime. Which combination of steps will meet these requirements? (Select THREE.)
A company’s processing team has an AWS account with a production application. The application runs on Amazon EC2 instances behind a Network Load Balancer (NLB). The EC2 instances are hosted in private subnets in a VPC in the eu- west- 1 Region. The VPC was assigned the CIDR block of 10.0.0.0/16. The billing team recently created a new AWS account and deployed an application on EC2 instances that are hosted in private subnets in a VPC in the eu-central-1 Region. The new VPC is assigned the CIDR block of 10.0.0.0/16. The processing application needs to securely communicate with the billing application over a proprietary TCP port. What should a solutions architect do to meet this requirement with the LEAST amount of operational effort?
What is the maximum number of data points for an HTTP data request that a user can include in PutMetricRequest in theCloudWatch?
You have deployed a web application targeting a global audience across multiple AWS Regions under the domain name.example.com. You decide to use Route53 Latency-Based Routing to serve web requests to users from the region closest to the user. To provide business continuity in the event of server downtime you configure weighted record sets associated with two web servers in separate Availability Zones per region. Dunning a DR test you notice that when you disable all web servers in one of the regions Route53 does not automatically direct all users to the other region. What could be happening? (Choose two.)

Question 894 - SAP-C01 discussion

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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 updates from the sensors, convert the raw data into a human readable format, and write the results to an on-premises relational database server Data analysts then use simple SQL 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 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.
Answers
A.
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.
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 Apache Parquet format, and save it to an Amazon S3 bucket. Instruct the data analysts to query the data by using Amazon Athena.
Answers
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 Apache Parquet format, and save it to an Amazon S3 bucket. Instruct the data analysts to query the data by using Amazon Athena.
C.
Send the sensor data to an 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
Answers
C.
Send the sensor data to an 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
D.
Send the sensor data to an Amazon Kinesis Data Analytics application to convert the data to Apache Parquet format and store it in an Amazon S3 bucket. Instruct the data analysts to query the data by using Amazon Athena.
Answers
D.
Send the sensor data to an Amazon Kinesis Data Analytics application to convert the data to Apache Parquet format and store it in an Amazon S3 bucket. Instruct the data analysts to query the data by using Amazon Athena.
Suggested answer: B
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asked 16/09/2024
Tr Skumar
55 questions
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