SAP-C01 EXAM TESTKING - LATEST SAP-C01 DUMPS BOOK

SAP-C01 Exam Testking - Latest SAP-C01 Dumps Book

SAP-C01 Exam Testking - Latest SAP-C01 Dumps Book

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Amazon AWS Certified Solutions Architect - Professional Sample Questions (Q34-Q39):

NEW QUESTION # 34
A company is developing a web application that runs on Amazon EC2 instances in an Auto Scaling group behind a public facing Application Load Balancer (ALB). Only users from a specific country are allowed to access the application. The company needs the ability to log the access requests that have been blocked. The solution should require the least possible maintenance.
Which solution meets these requirements?

  • A. Create an IPSet containing a list of IP ranges that belong to the specified country. Create an AWS WAF web ACL. Configure a rule to block any requests that do not originate from an IP range in the IPSet. Associate the rule with the web ACL. Associate the web ACL with the ALB.
  • B. Create an AWS WAF web ACL. Configure a rule to block any requests that do no originate from specified country. Associate the rule with the web ACL. Associate the web ACL with the ALB.
  • C. Create a security group rule that allows ports 80 and 443 from IP ranges that belong to the specified country. Associate the security group with the ALB.
  • D. Configure AWS Shield to block any requests that do not originate from the specified country. Associate AWS Shield with the ALB.

Answer: B


NEW QUESTION # 35
An enterprise company's data science team wants to provide a safe, cost-effective way to provide easy access to Amazon SageMaker. The data scientists have limited AWS knowledge and need to be able to launch a Jupyter notebook instance. The notebook instance needs to have a preconfigured AWS KMS key to encrypt data at rest on the machine learning storage volume without exposing the complex setup requirements.
Which approach will allow the company to set up a self-service mechanism for the data scientists to launch Jupyter notebooks in its AWS accounts with the LEAST amount of operational overhead?

  • A. Create a serverless front end using a static Amazon S3 website to allow the data scientists to request a Jupyter notebook instance by filling out a form. Use Amazon API Gateway to receive requests from the S3 website and trigger a central AWS Lambda function to make an API call to Amazon SageMaker that launch a notebook instance with a preconfigured KMS key for the data scientists. Then call back to the front-end website to display the URL to the notebook instance.
  • B. Create an AWS CLI script that the data scientists can run locally. Provide step-by-step instructions about the parameters to be provided while executing the AWS CLI script to launch a Jupyter notebook with a preconfigured KMS key. Distribute the CLI script to the data scientists using a shared Amazon S3 bucket.
  • C. Create an AWS CloudFormation template to launch a Jupyter notebook instance using the AWS::SaqeMaker::Notebooklnstance resource type with a preconfigured KMS key. Add a user-friendly name to the CloudFormation template. Display the URL to the notebook using the Outputs section. Distribute the CloudFormation template to the data scientists using a shared Amazon S3 bucket.
  • D. Create an AWS CloudFormation template to launch a Jupyter notebook instance using the AWS::SageMaker::Notebooklnstance resource type with a preconfigured KMS key. Simplify the parameter names, such as the instance size, by mapping them to Small, Large, and X-Large using the Mappings section in CloudFormation. Display the URL to the notebook using the Outputs section, then upload the template into an AWS Service Catalog product in the data scientist's portfolio, and share it with the data scientist's IAM role.

Answer: C


NEW QUESTION # 36
A large company is migrating its entire IT portfolio to AWS. Each business unit in the company has a standalone AWS account that supports both development and test environments. New accounts to support production workloads will be needed soon.
The Finance department requires a centralized method for payment but must maintain visibility into each group's spending to allocate costs.
The Security team requires a centralized mechanism to control IAM usage in all the company's accounts.
What combination of the following options meet the company's needs with LEAST effort? (Choose two.)

  • A. Use a collection of parameterized AWS CloudFormation templates defining common IAM permissions that are launched into each account. Require all new and existing accounts to launch the appropriate stacks to enforce the least privilege model.
  • B. Consolidate all of the company's AWS accounts into a single AWS account. Use tags for billing purposes and IAM's Access Advice feature to enforce the least privilege model.
  • C. Enable all features of AWS Organizations and establish appropriate service control policies that filter IAM permissions for sub-accounts.
  • D. Require each business unit to use its own AWS accounts. Tag each AWS account appropriately and enable Cost Explorer to administer chargebacks.
  • E. Use AWS Organizations to create a new organization from a chosen payer account and define an organizational unit hierarchy. Invite the existing accounts to join the organization and create new accounts using Organizations.

Answer: C,D


NEW QUESTION # 37
A Solutions Architect is designing a system that will collect and store data from 2,000 internet-connected sensors. Each sensor produces 1 KB of data every second. The data must be available for analysis within a few seconds of it being sent to the system and stored for analysis indefinitely.
Which is the MOST cost-effective solution for collecting and storing the data?

  • A. Put each record in Amazon Kinesis Data Streams. Set up Amazon Kinesis Data Firehouse to read records from the stream and group them into objects in Amazon S3. Analyze recent data from Kinesis Data Streams and historical data from Amazon S3.
  • B. Put each record in Amazon Kinesis Data Streams. Use an AWS Lambda function to write each record to an object in Amazon S3 with a prefix that organizes the records by hour and hashes the record's key.
    Analyze recent data from Kinesis Data Streams and historical data from Amazon S3.
  • C. Put each record into an object in Amazon S3 with a prefix what organizes the records by hour and hashes the record's key. Use S3 lifecycle management to transition objects to S3 infrequent access storage to reduce storage costs. Analyze recent and historical data by accessing the data in Amazon S3
  • D. Put each record into an Amazon DynamoDB table. Analyze the recent data by querying the table. Use an AWS Lambda function connected to a DynamoDB stream to group records together, write them into objects in Amazon S3, and then delete the record from the DynamoDB table. Analyze recent data from the DynamoDB table and historical data from Amazon S3

Answer: D


NEW QUESTION # 38
A company has an application that sells tickets online and experiences bursts of demand every 7 days. The application has a stateless presentation layer running on Amazon EC2. an Oracle database to store unstructured data catalog information, and a backend API layer. The front-end layer uses an Elastic Load Balancer to distribute the load across nine On-Demand Instances over three Availability Zones (AZs). The Oracle database is running on a single EC2 instance. The company is experiencing performance issues when running more than two concurrent campaigns. A solutions architect must design a solution that meets the following requirements:
* Address scalability issues.
* Increase the level of concurrency.
* Eliminate licensing costs.
* Improve reliability.
Which set of steps should the solutions architect take?

  • A. Convert the On-Demand Instances into Spot Instances to reduce costs for the front end. Convert the tables in the Oracle database into Amazon DynamoDB tables.
  • B. Create an Auto Scaling group for the front end with a combination of On-Demand and Spot Instances to reduce costs. Create two additional copies of the database instance, then distribute the databases in separate AZs.
  • C. Create an Auto Scaling group for the front end with a combination of On-Demand and Spot Instances to reduce costs. Convert the tables in the Oracle database into Amazon DynamoDB tables.
  • D. Create an Auto Scaling group for the front end with a combination of On-Demand and Spot Instances to reduce costs. Convert the Oracle database into a single Amazon RDS reserved DB instance.

Answer: C


NEW QUESTION # 39
......

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