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NEW QUESTION: 1
Paul is a project manager for an industrial design project. The project has a 60% chance of making the company $230,000 over the next year. It has a 40% chance of costing the company $150,000. What's the project's EMV?
A. $138,000
B. $230,000
C. $60,000
D. $78,000
Answer: D
Explanation:
$230,000 x 0.70 = $ 138,000 savings, and $150,000 x 0.40 = -$60,000 expenses. Add them together and you get $78,000. When you calculate EMV, anything that saves your project money is counted as positive, and anything that costs it money is negative. Multiply each by the probability and add them together.

NEW QUESTION: 2
You have the dataset shown in the following exhibit.

You need to ensure that the visual shows only the 10 cities that have the highest sales profit.
What should you do?
A. Add a Top N filter to the visual.
B. Add a calculated column to the table that returns the city name if the city is in the top 10, otherwise the calculated column will return "Not in Top 10". In the visual, replace Sales Profit with the calculated column.
C. Configure the Sales Profit measure to use the RANKX function.
D. Add a calculated column to the table that uses the TOPN function. In the visual, replace Sales Profit with the calculated column.
Answer: A
Explanation:
Power BI Top N Filters are useful to display the top performing records, and Bottom N filters are helpful to display the least performing records. For example, we can display top or bottom 10 products by orders or sales.
Note:
* Select the Column you want to display the Top Sales Profit
* Then change the Filter Type of that Column to Top N
* Fill in Top / Bottom number field
* And lastly drag to the By Value filed your Sales Profit
Reference:
https://www.tutorialgateway.org/power-bi-top-10-filters/
Topic 1, Litware, Inc.
Case Study
This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section.
To start the case study
To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.
Overview
Litware, Inc. is an online retailer that uses Microsoft Power Bl dashboards and reports.
The company plans to leverage data from Microsoft SQL Server databases, Microsoft Excel files, text files, and several other data sources.
Litware uses Azure Active Directory (Azure AD) to authenticate users.
- Existing Environment
Sales Data
Litware has online sales data that has the SQL schema shown in the following table.

In the Date table, the dateid column has a format of yyyymmdd and the month column has a format of yyyymm. The week column in the Date table and the weekid column in the Weekly_Returns table have a format of yyyyww. The regionid column can be managed by only one sales manager.
Data Concerns
You are concerned with the quality and completeness of the sales data. You plan to verify the sales data for negative sales amounts.
Reporting Requirements
Litware identifies the following technical requirements:
* Executives require a visual that shows sales by region.
* Regional managers require a visual to analyze weekly sales and returns.
* Sales managers must be able to see the sales data of their respective region only.
* The sales managers require a visual to analyze sales performance versus sales targets.
* The sale department requires reports that contain the number of sales transactions.
* Users must be able to see the month in reports as shown in the following example: Feb 2020.
* The customer service department requires a visual that can be filtered by both sales month and ship month independently.

NEW QUESTION: 3
Which type of SQL statement would be selected for tuning by the automatic SQL framework?
A. Serial and parallel queries that top the AWR Top SQL in the past week only and have been SQL profiled by the SQL Tuning Advisor.
B. Serial queries that have been tuned within the last 30days and have been SQL profiled by the SQL tuning Advisor.
C. Serial queries that are among the costliest in any or all of the four categories: the past week, any day in the past week, any hour in the past week, or single response, and have the potential for improvement
D. Serial queries that top the AWR Top SQL in the past week only and whose poor performance can be traced to concurrency issues.
E. Serial and parallel queries that are among the costliest in any or all of the four categories: the past week, and day in the past week, any hour in the past week, or a single response, and that can benefit from access method changes.
Answer: E
Explanation:
The Automatic Tuning Optimizer is meant to be used for complex and high-
load SQL statements that have non-trivial impact on the entire system. The Automatic
Database Diagnostic Monitor (ADDM) proactively identifies high-load SQL statements
which are good candidates for SQL tuning.
Note:
*When SQL statements are executed by the Oracle database, the query optimizer is used
to generate the execution plans of the SQL statements. The query optimizer operates in
two modes: a normal mode and a tuning mode.
In normal mode, the optimizer compiles the SQL and generates an execution plan. The
normal mode of the optimizer generates a reasonable execution plan for the vast majority
of SQL statements. Under normal mode, the optimizer operates with very strict time
constraints, usually a fraction of a second, during which it must find a good execution plan.
In tuning mode, the optimizer performs additional analysis to check whether the execution
plan produced under normal mode can be improved further. The output of the query
optimizer is not an execution plan, but a series of actions, along with their rationale and
expected benefit for producing a significantly superior plan. When running in the tuning
mode, the optimizer is referred to as the Automatic Tuning Optimizer.
Reference: OracleDatabase Performance Tuning Guide,Automatic SQL Tuning