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| Certification Vendor: | Salesforce |
|---|---|
| Exam Name: | Salesforce Certified Tableau Data Analyst |
| Exam Number: | Analytics-DA-201 |
| Real Exam Qty: | 60-65 |
| Passing Score: | 65% |
| Available Languages: | Japanese, English |
| Exam Format: | Multiple Select, Multiple Choice |
| Exam Price: | USD 200 |
| Certificate Validity Period: | 2 years |
| Exam Duration: | 105 minutes |
| Related Certifications: | Salesforce Certified Tableau Consultant Salesforce Certified Tableau Server Administrator |
| Sample Questions: | Salesforce Analytics-DA-201 Sample Questions |
| Exam Way: | Online proctored exam or test center delivery |
| Pre Condition: | No formal prerequisites |
| Official Syllabus URL: | https://help.salesforce.com/s/articleView?id=005298984&language=en_US&type=1 |
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NEW QUESTION # 155
In a dataset, you have a string field named Name that contains unnecessary semicolons.
Which function should you use to remove the semicolons from the Name field?
Answer: C
Explanation:
The REPLACE function is used to replace all occurrences of a substring within a string with another substring. In this case, it can be used to remove the semicolons from the Name field by replacing them with an empty string. For example, REPLACE ("John;Doe", ";", "") = "JohnDoe". References: The information is based on the following sources:
* String Functions - Tableau
* Remove special characters and add a semi colon in a word - Tableau
NEW QUESTION # 156
A Data Analyst has a data source that contains data for every city in the United States. The following is a sample of the data.
The analyst needs to use the City dimension to create a dynamic filter that shows the cities that have a population greater than 1 million.
Which type of filter should the analyst use?
Answer: D
NEW QUESTION # 157
You have the following visualization.
The Last() calculation is set to compute using Table (across)
Which value will appear in the crosstab for the Consumer segment of the year 2018 if you change compute to use Oder Dale?
Answer: D
Explanation:
The LAST() function in Tableau returns the number of rows from the current row to the last row in the partition. When you compute using 'Order Date', it will change the partitioning of the calculation. If
'Consumer' in '2018' is the last row in its partition when computed by 'Order Date', then LAST() will return 0 for that cell.
The LAST() function in Tableau is a table calculation that returns the number of rows from the current row to the last row in the partition. The value of LAST() is 0 for the last row, increases by 1 for each row above the last row, and can be negative for rows below the current row if there are such rows in the partition.
In the provided visualization, LAST() is set to compute using Table (across). Changing the compute mode to use "Order Date" will adjust the partitioning of the data upon which the LAST() function is calculated. Since
"Order Date" is likely to be a unique value per row (assuming each order has a unique date), each row becomes its own partition.
For the Consumer segment of the year 2018, if "Order Date" is unique for each row, then the last row in each partition (in this case, each individual row) will have a LAST() value of 0 because there are no other rows in the partition - it's the last row of its own partition.
Therefore, when you change the compute mode of LAST() to use "Order Date", each cell under the Consumer segment for the year 2018 will have the LAST() value of 0, because each order date creates a partition of one, making every row the last in its partition.
NEW QUESTION # 158
A Data Analyst has the following table.
Overall Rank and Rank are calculated fields that use the RANK function.
The analyst filters out the Phones sub-category.
For which three sub-categories will the value of Rank change? Choose three.
Answer: A,C,G
Explanation:
RANK is a table calculation, and Tableau evaluates ordinary dimension filters before table calculations.
Filtering out Phones , which is the highest-sales Technology sub-category, removes that mark before Tableau recalculates Rank for the remaining Technology members. Machines therefore moves from Rank 2 to Rank 1, Accessories from Rank 3 to Rank 2, and Copiers from Rank 4 to Rank 3. The Furniture members-Chairs, Tables, Bookcases, and Furnishings-remain in their existing partition and therefore retain their current ranks.
Phones itself disappears rather than receiving a new displayed rank. Tableau documents RANK as ranking values within a partition and confirms through its order of operations that dimension filtering takes place before table calculations are evaluated. Therefore, Machines, Copiers, and Accessories are the three affected sub-categories.
NEW QUESTION # 159
You have the following box plot that shows the distribution of average profits made in every state by region.
Which region has the smallest distribution of profits?
Answer: B
Explanation:
The box plot visualization displays the distribution of average profits by region. The distribution of profits is represented by the range of the box (interquartile range) and the whiskers (which often represent the total range excluding outliers). From the image provided, the South region has the smallest visible range within its box and the shortest whiskers, indicating the smallest distribution of average profits among the choices provided.
NEW QUESTION # 160
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