PART 2-PL-300-Power BI Data Analyst Associate (Intermediate LV1)

PART 2-PL-300-Power BI Data Analyst Associate (Intermediate LV1)

82 Qs

quiz-placeholder

Similar activities

Preschool Child Final Study Guide

Preschool Child Final Study Guide

9th Grade

83 Qs

PART 3-PL-300-Power BI Data Analyst Associate (Intermediate LV1)

PART 3-PL-300-Power BI Data Analyst Associate (Intermediate LV1)

KG - University

84 Qs

1Z0-1058-23 - Oracle Risk Management Cloud 2023 Implementation Professional

1Z0-1058-23 - Oracle Risk Management Cloud 2023 Implementation Professional

KG - University

80 Qs

Intro to Computer Apps Final

Intro to Computer Apps Final

KG - University

85 Qs

Romeo & Juliet Final Test Review

Romeo & Juliet Final Test Review

KG - University

80 Qs

Biology final

Biology final

9th Grade

84 Qs

Life Science Final Exam Fall 24

Life Science Final Exam Fall 24

KG - University

83 Qs

Keyboarding Semester Exam Review

Keyboarding Semester Exam Review

KG - University

77 Qs

PART 2-PL-300-Power BI Data Analyst Associate (Intermediate LV1)

PART 2-PL-300-Power BI Data Analyst Associate (Intermediate LV1)

Assessment

Quiz

others

Medium

Created by

Ly Hung Lai

Used 2+ times

FREE Resource

82 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Media Image
81.1- HOTSPOT - You have a Power BI data model that contains a table named Stores. The table has the following columns: • Store Name • Open Date • Status • State • City You need to create a calculated column named Active Store Name that meets the following requirements: • When the value of the Status column is “A”, the value in the Store Name column must be returned. • When the value of the Status column is NOT “A”, the value in the Store Name column that is prefixed with "Inactive - " must be returned. How should you complete the DAX expression? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point. 1- BOX 1
1- IF
1- SWITCH
1- TRUE

2.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Media Image
81.2- HOTSPOT - You have a Power BI data model that contains a table named Stores. The table has the following columns: • Store Name • Open Date • Status • State • City You need to create a calculated column named Active Store Name that meets the following requirements: • When the value of the Status column is “A”, the value in the Store Name column must be returned. • When the value of the Status column is NOT “A”, the value in the Store Name column that is prefixed with "Inactive - " must be returned. How should you complete the DAX expression? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point. 2- BOX 2
&
&&
+

3.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

82- You have a CSV file that contains user complaints. The file contains a column named Logged. Logged contains the date and time each complaint occurred. The data in Logged is in the following format: 2018-12-31 at 08:59. You need to be able to analyze the complaints by the logged date and use a built-in date hierarchy. What should you do?
A. Apply a transformation to extract the first 11 characters of the logged column.
B. Add a conditional column that outputs 2018 if the Logged column starts with 2018 and set the data type of the new column to Whole Number.
C. Create a column by example that starts with 2018-12-31 and set the data type of the new column to Date
D. Apply a transformation to extract the last 11 characters of the Logged column and set the data type of the new column to Date

4.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Media Image
83- From Power Query Editor, you profile the data shown in the following exhibit. The IoT GUID and IoT ID columns are unique to each row in the query. You need to analyze IoT events by the hour and day of the year. The solution must improve dataset performance. Solution: You create a custom column that concatenates the IoT GUID column and the IoT ID column and then delete the IoT GUID and IoT ID columns. Does this meet the goal?
A. Yes
B. No

5.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Media Image
84- You have a Power BI model that contains a table named Employee. The table contains the following data Each employee has one manager as shown in the ParentEmployeeID column. All reporting paths lead to the CEO at the top of the organizational hierarchy. You need to create a calculated column that returns the count of levels from each employee to the CEO. Which DAX expression should you use?
A. PATHLENGTH(PATH(Employee[EmployeeID],Employee[ParentEmployeeID]))
B. PATHITEM(PATH(Employee[EmployeeID],Employee[ParentEmployeeID]),1,INTEGER)
C. PATHCONTAINS(PATH(Employee[EmployeeID],Employee[ParentEmployeeID]),1)
D. PATH(Employee[EmployeeID],Employee[ParentEmployeeID])

6.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

85- You have a Microsoft Power BI report. The size of PBIX file is 550 MB. The report is accessed by using an App workspace in shared capacity of powerbi.com. The report uses an imported dataset that contains one fact table. The fact table contains 12 million rows. The dataset is scheduled to refresh twice a day at 08:00 and 17:00. The report is a single page that contains 15 AppSource visuals and 10 default visuals. Users say that the report is slow to load the visuals when they access and interact with the report. You need to recommend a solution to improve the performance of the report. What should you recommend?
A. Replace the default visuals with AppSource visuals.
B. Remove unused columns from tables in the data model
C. Change the imported dataset to DirectQuery
D. Increase the number of times that the dataset is refreshed

7.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

86- You have a CSV file that contains user complaints. The file contains a column named Logged. Logged contains the date and time each complaint occurred. The data in Logged is in the following format: 2018-12-31 at 08:59. You need to be able to analyze the complaints by the logged date and use a built-in date hierarchy. What should you do?
A. Change the data type of the Logged column to Date
B. Split the Logged column by using at as the delimiter.
C. Add a conditional column that outputs 2018 if the Logged column starts with 2018 and set the data type of the new column to Whole Number
D. Apply the Parse function from the Date transformations options to the Logged column.

Create a free account and access millions of resources

Create resources
Host any resource
Get auto-graded reports
or continue with
Microsoft
Apple
Others
By signing up, you agree to our Terms of Service & Privacy Policy
Already have an account?