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NEW QUESTION: 1
Note: This question it part of a series of questions that use the same scenario. For your convenience, the scenario 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.

You have a Microsoft SQL Server database that contains the following tables.


The Oder table contains more than one million rows.
The Store table has a relationship to the Monthy_returns table on the StoreID column. This is the only relationship between the tables.
You plan to use Power BI Desktop to create an analytics solution for the data.

You plan to create a chart that displays total Order [Order_amount] by Store [Name].
You need to modify the model to ensure that you can create the chart.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. To the Order table, add a measure that uses the SUM('Order'[Order_amount] ) DAX formula.
B. To the Order table, add a measure that uses the COUNT('Order'[Order_amount]) DAX formula.
C. To the Order table, add a column that user the RELATED('Store'[Store_ID]) DAX formula.
D. Create a relationship between the Order table and the Store table.
Answer: A,D

NEW QUESTION: 2
Your company's on-premises Apache Hadoop servers are approaching end-of-life, and IT has decided to migrate the cluster to Google Cloud Dataproc. A like-for-like migration of the cluster would require 50 TB of Google Persistent Disk per node. The CIO is concerned about the cost of using that much block storage.
You want to minimize the storage cost of the migration. What should you do?
A. Migrate some of the cold data into Google Cloud Storage, and keep only the hot data in Persistent Disk.
B. Tune the Cloud Dataproc cluster so that there is just enough disk for all data.
C. Use preemptible virtual machines (VMs) for the Cloud Dataproc cluster.
D. Put the data into Google Cloud Storage.
Answer: D
Explanation:
First rule of dataproc is to keep data in GCS.

NEW QUESTION: 3
Which of the following can be used to reduce credit exposures to a counterparty:
I. Netting arrangements
II. Collateral requirements
III. Offsetting trades with other counterparties
IV. Credit default swaps
A. I and II
B. III and IV
C. I, II, III and IV
D. I, II and IV
Answer: D
Explanation:
Explanation
Offsetting trades with other counterparties will not reduce credit exposure to a given counterparty. All other choices represent means of reducing credit risk. Therefore Choice 'c' is the correct answer.

NEW QUESTION: 4
The Order table includes (among other fields) a customer ID and an amount for each item that was ordered. An existing query returns the same number of rows as are in the table. For example, if John ordered 10 items, you would see 10 rows with his ID in the customer ID column.
You want to determine how much each customer has ordered, so you need a query that displays just one row for each customer ID and amount field. The value of the amount field in John row would be the sum of the values from the 10 rows.field. The value of the amount field in John? row would be the sum of the values from the 10 rows.
How would you calculate how much each customer has ordered?
A. Apply the aggregate function Sum to the amount field.
B. Add a prompt query to further refine the query when it is run.
C. Define expressions to calculate how much each customer has ordered.
D. Define a HAVING criterion to display how much each customer has ordered.
Answer: A

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