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NEW QUESTION: 1

A. Option B
B. Option C
C. Option A
D. Option D
Answer: C

NEW QUESTION: 2
A bank is re-architecting its mainframe-based credit card approval processing application to a cloud-native application on the AWS cloud.
The new application will receive up to 1,000 requests per second at peak load. There are multiple steps to each transaction, and each step must receive the result of the previous step. The entire request must return an authorization response within less than 2 seconds with zero data loss. Every request must receive a response. The solution must be Payment Card Industry Data Security Standard (PCI DSS)-compliant.
Which option will meet all of the bank's objectives with the LEAST complexity and LOWEST cost while also meeting compliance requirements?
A. Create an Amazon API Gateway to process inbound requests using a series of AWS Lambda processes, each with an Amazon SQS input queue. As each step completes, it writes its result to the next step's queue. The final step returns a JSON object with the approval status. Open a support case to increase the limit for the number of concurrent Lambdas to allow room for bursts of activity due to the new application.
B. Deploy the application on Amazon EC2 on Dedicated Instances. Use an Elastic Load Balancer in front of a farm of application servers in an Auto Scaling group to handle incoming requests. Scale out/in based on a custom Amazon CloudWatch metric for the number of inbound requests per second after measuring the capacity of a single instance.
C. Create an Application Load Balancer with an Amazon ECS cluster on Amazon EC2 Dedicated instances in a target group to process incoming requests. Use Auto Scaling to scale the cluster out/in based on average CPU utilization. Deploy a web service that processes all of the approval steps and returns a JSON object with the approval status.
D. Create an Amazon API Gateway to process inbound requests using a single AWS Lambda task that performs multiple steps and returns a JSON object with the approval status. Open a support case to increase the limit for the number of concurrent Lambdas to allow room for bursts of activity due to the new application.
Answer: C

NEW QUESTION: 3
Note: This question is part of a series of questions that use the same scenario, For your convenience is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is the same in each question in this series.
Start of repeated scenario
You are creating reports for a car repair company. You have four datasets in Excel spreadsheets. Four workbook queries load the datasets to a data model. A sample of the data is shown in the Data Sample exhibit.

The data model is shown in the Data Model exhibit.

The tables in the model contain the following data:
DailyRepairs has a log of hours and revenue for each day, workshop, and repair type. Every day, a log entry is created for each workshop, even if no hours or revenue are recorded for that day. Total Hours and Total Revenue are two measures defined in DailyRepairs. Total Hours sums the Hours column, and Total Revenue sums the Revenue column.
Workshops has a list of all the workshops and the current and previous workshop managers. The format of the Workshop Manager column is always Firstname Lastname, A value of 1 in the IsLatest column indicates that the workshop manager listed in the record is the current workshop manager.
Repair types has a list of all the repair types.
Dates has a list of all the repair types.
Dates has a list of dates from 2015to 2018.
End of repeated scenario.
You need to create a PivotChart that displays the month, the hours of the month, and the hours of the previous month, as shown in the following exhibit.

Which DAX formula should you use for the Total Hours Last Month measure? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation
IF (ISBLANK([Total Hours]), BLANK(), CALCUATE [Total Hours], DATESADD (tblDates[Date]),
-1,MONTH)))