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NEW QUESTION: 1
An organization has a write-intensive mobile application that uses Amazon API Gateway, AWS Lambda, and Amazon DynamoDB. The application has scaled well, however, costs have increased exponentially because of higher than anticipated Lambda costs. The application's use is unpredictable, but there has been a steady 20% increase in utilization every month.
While monitoring the current Lambda functions, the Solutions Architect notices that the execution-time averages 4.5 minutes. Most of the wait time is the result of a high-latency network call to a 3-TB MySQL database server that is on-premises. A VPN is used to connect to the VPC, so the Lambda functions have been configured with a five-minute timeout.
How can the Solutions Architect reduce the cost of the current architecture?
A. Replace the VPN with AWS Direct Connect to reduce the network latency to the on-premises
MySQL database.
Cache the API Gateway results to Amazon CloudFront.
Use Amazon EC2 Reserved Instances instead of Lambda.
Enable Auto Scaling on EC2, and use Spot Instances during peak times.
Enable DynamoDB Auto Scaling to manage target utilization.
B. Migrate the MySQL database server into a Multi-AZ Amazon RDS for MySQL.
Enable API caching on API Gateway to reduce the number of Lambda function invocations.
Continue to monitor the AWS Lambda function performance; gradually adjust the timeout and
memory properties to lower values while maintaining an acceptable execution time.
Enable Auto Scaling in DynamoDB.
C. Replace the VPN with AWS Direct Connect to reduce the network latency to the on-premises
MySQL database.
Enable local caching in the mobile application to reduce the Lambda function invocation calls.
Monitor the Lambda function performance; gradually adjust the timeout and memory properties to
lower values while maintaining an acceptable execution time.
Offload the frequently accessed records from DynamoDB to Amazon ElastiCache.
D. Migrate the MySQL database server into a Multi-AZ Amazon RDS for MySQL.
Enable caching of the Amazon API Gateway results in Amazon CloudFront to reduce the number of
Lambda function invocations.
Monitor the Lambda function performance; gradually adjust the timeout and memory properties to
lower values while maintaining an acceptable execution time.
Enable DynamoDB Accelerator for frequently accessed records, and enable the DynamoDB Auto
Scaling feature.
Answer: C
NEW QUESTION: 2
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this sections, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are working on an Azure Machine Learning experiment.
You have the dataset configured as shown in the following table.
You need to ensure that you can compare the performance of the models and add annotations to the results.
Solution: You connect the Score Model modules from each trained model as inputs for the Evaluate Model module, and then save the results as a dataset.
Does this meet the goal?
A. Yes
B. No
Answer: A
Explanation:
Explanation
References:
https://msdn.microsoft.com/en-us/library/azure/dn905915.aspx
NEW QUESTION: 3
The gross spread in a new issue depends upon which of the following?
A. the amount of the issue
B. the past record of the issuing corporation
C. the type of industry in which the issuer is engaged
D. all of the above
Answer: D
Explanation:
Explanation/Reference:
Explanation: all of the above. The gross spread (or "underwriting spread") depends upon all of these factors.