HIGH EFFICIENT SAP-C01 GUIDE TORRENT PRACTICE MATERIALS: AWS CERTIFIED SOLUTIONS ARCHITECT - PROFESSIONAL - PASSLEADER

High efficient SAP-C01 Guide Torrent Practice Materials: AWS Certified Solutions Architect - Professional - PassLeader

High efficient SAP-C01 Guide Torrent Practice Materials: AWS Certified Solutions Architect - Professional - PassLeader

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Amazon AWS Certified Solutions Architect - Professional Sample Questions (Q167-Q172):

NEW QUESTION # 167
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: D

Explanation:
https://aws.amazon.com/blogs/mt/enable-self-service-secured-data-science-using-amazon-sagemaker-notebooks-and-aws-service-catalog/


NEW QUESTION # 168
A large company recently experienced an unexpected increase in Amazon RDS and Amazon DynamoDB costs. The company needs to increase visibility into delays of AWS Billing and Cost Management. There are various accounts associated with AWS Organizations, including many development and production accounts.
There is no consistent tagging strategy across the organization, but there are guidelines in place that require all infrastructure to be deployed using AWS CloudFormation with consistent tagging Management requires cost center numbers and project ID numbers for all existing and future DynamoOB tables and RDS distances.
Which strategy should the solutions architect provide to meet these requirements?

  • A. Use an AWS Config rule to alert the finance team of untagged resources. Create a centralized AWS Lambda based solution to tag untagged RDS databases and DynamoOB resources every hour using a cross-account role
  • B. Use Tag Editor to tag existing resources. Create cost allocation lags to define the cost center and project ID Use SCPs to restrict resource creation that do not have the cost center and project ID on the resource.
  • C. Create cost allocation tags to define the cost center and project ID and allow 24 hours for tags to propagate to existing resources. Update existing federated roles to restrict privileges to provision resources that do not include the cost center and project ID on the resource
  • D. Use Tag Editor to tag existing resources. Create cost allocation tags to define the cost center and project ID and allow 24 hours for lags to propagate to existing resources.

Answer: D


NEW QUESTION # 169
To serve Web traffic for a popular product your chief financial officer and IT director have purchased 10 ml large heavy utilization Reserved Instances (RIs) evenly spread across two availability zones: Route 53 is used to deliver the traffic to an Elastic Load Balancer (ELB). After several months, the product grows even more popular and you need additional capacity. As a result, your company purchases two C3.2xlarge medium utilization Ris. You register the two c3 2xlarge instances with your ELB and quickly find that the ml large instances are at 100% of capacity and the c3 2xlarge instances have significant capacity that's unused.
Which option is the most cost effective and uses EC2 capacity most effectively?

  • A. Configure ELB with two c3.2xlarge instances and use on-demand Autoscaling group for up to two additional c3.2xlarge instances. Shut off m1.large instances.
  • B. Route traffic to EC2 m1.large and c3.2xlarge instances directly using Route 53 latency based routing and health checks. Shut off ELB.
  • C. Use a separate ELB for each instance type and distribute load to ELBs with Route 53 weighted round robin.
  • D. Configure Autoscaling group and Launch Configuration with ELB to add up to 10 more on-demand m1.large instances when triggered by Cloudwatch. Shut off c3.2xlarge instances.

Answer: C


NEW QUESTION # 170
A financial company is building a system to generate monthly, immutable bank account statements for its users Statements are stored in Amazon S3 Users should have immediate access to their monthly statements for up to 2 years Some users access then statements frequently whereas others rarely access their statements. The company's security and compliance policy requires that the statements be retained for at least 7 years What is the MOST cost-effective solution to meet the company's needs?

  • A. Create an S3 bucket with versioning disabled Store statements in S3 One Zone-Infrequent Access (S3 One Zone-IA) Define an S3 Lifecycle policy to move the data to S3 Glacier Deep Archive after 2 years Attach an S3 Glacier Vault Lock policy with deny delete permissions for archives less than 7 years old
  • B. Create an S3 bucket with versioning enabled Store statements in S3 Intelligent-Tiering Use same-Region replication lo replicate objects to a backup S3 bucket Define an S3 Lifecycle policy for the backup S3 bucket to move the data to S3 Glacier Attach an S3 Glacier Vault Lock policy with deny delete permissions for archives less than 7 years old
  • C. Create an S3 bucket with Object Lock enabled Store statements in S3 intelligent-Tiering Enable compliance mode with a default retention period of 2 years Define an S3 Lifecycle policy to move the data to S3 Glacier after 2 years Attach an S3 Glacier Vault Lock policy with deny delete permissions for archives less than 7 years old
  • D. Create an S3 bucket with Object Lock disabled Store statements in S3 Standard Define an S3 Litecycle policy to transition the data to S3 Standard-Infrequent Access (S3 Standard-IA) after 30 days Define another S3 Lifecycle policy to move the data to S3 Glacier Deep Archive after 2 years Attach an S3 Glacier Vault Lock policy with deny delete permissions for archives less than 7 years old

Answer: A

Explanation:
https://docs.aws.amazon.com/AmazonS3/latest/userguide/object-lock-overview.html https://aws.amazon.com/fr/blogs/aws/s3-intelligent-tiering-adds-archive-access-tiers/


NEW QUESTION # 171
A solutions architect is building a web application that uses an Amazon RDS for PostgreSQL DB instance The DB instance is expected to receive many more reads than writes. The solutions architect needs to ensure that the large amount of read traffic can be accommodated and that the DB instance is highly available.
Which steps should the solutions architect take to meet these requirements? (Select THREE)

  • A. Create an Application Load Balancer (ALB) and put the read replicas behind the ALB.
  • B. Configure an Amazon Route 53 health check for each read replica using its endpoint
  • C. Create multiple read replicas in different Availability Zones.
  • D. Create an Amazon Route 53 hosted zone and a record set for each read replica with a TTL and a weighted routing policy.
  • E. Configure an Amazon CloudWatch alarm to detect a failed read replica. Set the alarm to directly invoke an AWS Lambda function to delete its Route 53 record set.
  • F. Create multiple read replicas and put them into an Auto Scaling group.

Answer: B,C,D

Explanation:
https://aws.amazon.com/premiumsupport/knowledge-center/requests-rds-read-replicas/ You can use Amazon Route 53 weighted record sets to distribute requests across your read replicas. Within a Route 53 hosted zone, create individual record sets for each DNS endpoint associated with your read replicas and give them the same weight. Then, direct requests to the endpoint of the record set. You can incorporate Route 53 health checks to be sure that Route 53 directs traffic away from unavailable read replicas


NEW QUESTION # 172
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