[Jun 17, 2024] Free Tableau TDS-C01 Exam Questions and Answer
Verified TDS-C01 dumps Q&As Latest TDS-C01 Download
Following is the most updated info about the time, passing score, language and no. of questions in the Tableau TDS-C01 Certification Exam
Here is the overview of the detailed information, shared in the TDS-C01 exam dumps:
Number of Questions: 45 questions
Exam Type: Multiple Choice
Languages: English
Time Duration: 60 minutes
The passing score: 75%
Get informed about the salary of a Tableau TDS-C01 Certified Professional
The salary of a Tableau TDS-C01 Certified expert, who passes the exam with the help of the TDS-C01 exam dumps, is highly competitive. It mostly depends on the candidate's experience & skills, the size of the company where he/she works, the location of the workplace, and market conditions. The average salary of a Tableau TDS-C01 Certified expert is as listed below:
- In India: 60,000 INR
- In the United States: 70,000 USD
- In the United Kingdom: 60,000 GBP
- In France: 48,000 EUR
Tableau TDS-C01: Tableau Desktop Specialist Exam is an accreditation that validates proficiency in Tableau Desktop Specialist. Tableau Desktop Specialist certification exam is a perfect fit for anyone who seeks to validate their abilities to make informed decisions with visualizations in Tableau. With the increasing need for companies to make data-backed decisions, employers look for professionals with Tableau Desktop Specialist certification to help them visualize and analyze data.
NEW QUESTION # 11
Which of the following charts types always includes bars sorted in descending order?
- A. Pie Chart
- B. Stacked Bar Chart
- C. Gantt Chart
- D. Pareto Chart
Answer: D
Explanation:
A Pareto chart is a type of chart that contains both bars and a line graph, where individual values are represented in descending order by bars, and the ascending cumulative total is represented by the line.
On the primary axis, bars are used to show the raw quantities for each dimension member, sorted in descending order.
On the secondary axis, a line graph is used to show the cumulative total in percent format.
NEW QUESTION # 12
Which mark type is used in a highlight table?
- A. Area
- B. Square
- C. Polygon
- D. Text
Answer: B
Explanation:
According to the Tableau Help, a highlight table is "a cross-tabulation that uses color to encode values". The help also states that "Highlight tables use the Square mark type" (page 1).
NEW QUESTION # 13
What is a story point in Tableau?
- A. A single worksheet or dashboard
- B. A collection of both worksheets and dashboards
- C. A collection of worksheets
- D. A collection of dashboards
Answer: A
Explanation:
In Tableau, a story is a sequence of visualizations that work together to convey information. You can create stories to tell a data narrative, provide context, demonstrate how decisions relate to outcomes, or to simply make a compelling case.
A story is a sheet, so the methods you use to create, name, and manage worksheets and dashboards also apply to stories (for more details, see Workbooks and Sheets). At the same time, a story is also a collection of sheets, arranged in a sequence. Each individual sheet (worksheet or dashboard) in a story is called a story point.
When you share a story -for example, by publishing a workbook to Tableau Public, Tableau Server, or Tableau Online-users can interact with the story to reveal new findings or ask new questions of the data.
NEW QUESTION # 14
Which of the following are correct ways to define a join in Tableau version 2020.3 and above?
- A. Double-click a physical table to go to the Join/Union canvas in the logical layer and add joins or unions.
- B. Right-click a physical table and click on open to go to the Join/Union canvas in the logical layer and add joins or unions.
- C. Double-click a logical table to go to the Join/Union canvas in the physical layer and add joins or unions.
- D. Right-click a logical table and click on open to go to the Join/Union canvas in the physical layer and add joins or unions.
Answer: C,D
Explanation:
Remember that joins are defined in the physical layer and relationships in the logical layer.
You can still specify joins between tables in the physical layer of a data source. Double-click a logical table to go to the Join/Union canvas in the physical layer and add joins or unions.
Every top-level, logical table contains at least one physical table. Open a logical table to view, edit, or create joins between its physical tables. Right-click a logical table, and then click Open. Or, just double-click the table to open it.
When you create a data source, it has two layers. The top-level layer is the logical layer of the data source. You combine data between tables in the logical layer using relationships.
The next layer is the physical layer of the data source. You combine data between tables at the physical layer using joins. For more information, see Logical and physical tables in the data model
NEW QUESTION # 15
Suppose I have the following view. What will be the total number of marks if I drag a new measure to the row shelf vs the column shelf?
- A. If dragged to row shelf : 14 marks ; If dragged to column shelf : 14 marks
- B. If dragged to row shelf : 14 marks ; If dragged to column shelf : 7
marks - C. If dragged to row shelf : 7 marks ; If dragged to column shelf : 14 marks
- D. If dragged to row shelf : 7 marks ; If dragged to column shelf : 7 marks
Answer: B
Explanation:
This is a tricky question often asked in the exam.
If we drag a new measure to the row shelf, the following happens:
We now have 2 rows, and the same 7 columns for both these rows. Therefore, 2x7 = 14 marks!
Graphical user interface, chart, bar chart Description automatically generated with medium confidence
But if we drag the same measure to the column shelf, we have just 1 row and a chart created for each of the columns. So (1x7) = 7 marks!
Graphical user interface, text, application Description automatically generated
Reference and
notes: https://medium.com/@justindixon91/tableau-specialist-exam-notes-part-4-understanding-tableau-concepts
NEW QUESTION # 16
You can use the __________________ in Tableau to clean / organise your data.
- A. Data manager
- B. Data interpreter
- C. Data cleaner
- D. Data organiser
Answer: B
Explanation:
When you track data in Excel spreadsheets, you create them with the human interface in mind. To make your spreadsheets easy to read, you might include things like titles, stacked headers, notes, maybe empty rows and columns to add white space, and you probably have multiple tabs of data too.
When you want to analyze this data in Tableau, these aesthetically pleasing attributes make it very difficult for Tableau to interpret your data. That's where Data Interpreter can help.
NEW QUESTION # 17
True or False: Sets can be created on Measures
- A. False
- B. True
Answer: A
Explanation:
Sets are custom fields that are created within Tableau Desktop based on dimensions from your data source.
They are subsets of your data, which can be created manually or computed. Either dimensions or measures can be used to determine what is included or excluded from a set using conditional logic, but to CREATE a set we use dimensions.
Reference : https://interworks.com/blog/rcurtis/2016/10/26/tableau-deep-dive-sets-introduction-sets/
NEW QUESTION # 18
How can you change the Default Aggregation for a measure in Tableau?
- A. By changing its properties manually every time we need to use it
- B. By double clicking on the measure, and then choosing Window -> Default Aggregation
- C. By right clicking the measure -> Default properties and choosing Aggregation
- D. By right clicking the dimension -> Default properties and choosing Aggregation
Answer: B
Explanation:
Explanation
According to the official Tableau documentation:
Dimensions don't have aggregation properties, and adding properties manually each time defeats the whole DEFAULT aggregation purpose. Window tab doesn't have any default aggregation option!
NEW QUESTION # 19
Beginning in version 10.5, when you create a new extract, it uses the _________ format instead of the .tde format.
- A. .tdex
- B. .hyper
- C. .twbx
- D. .tds
Answer: B
Explanation:
Beginning in version 10.5, when you create a new extract, it uses the .hyper format instead of the .tde format.
Extracts in the .hyper format take advantage of the improved data engine, which supports the same fast analytical and query performance as the data engine before it, but for even larger extracts.
Although there are many benefits of using .hyper extracts, the primary benefits include the following:
1) Create larger extracts: You can create extracts with billions of rows of data. Because .hyper extracts can support more data, you can consolidate .tde extracts that you previously had to create separately into a single .hyper extract.
2) Create and refresh extracts faster: While Tableau has always optimized performance for creating and refreshing extracts, version 2020.3 supports faster extract creation and refreshes for even larger data sets.
3) Experience better performance when interacting with views that use extract data sources: Although smaller extracts continue to perform efficiently, larger extracts perform more efficiently.
NEW QUESTION # 20
If you decide you want to see all of the marks in the view at the most detailed level of granularity, you can
__________________ the view.
- A. break-down the measures
- B. disaggregate the measures
- C. aggregate the measures
- D. sort the measures
- E. split the measures
Answer: B
Explanation:
The different aggregations available for a measure determine how the individual values are collected: they can be added (SUM), averaged (AVG), or set to the maximum (MAX) or minimum (MIN) value from the individual row values.
For a complete list of the available aggregations, check out - List of Predefined Aggregations in Tableau.
The level of detail is determined by the dimensions in your view-for information about the concept of level of detail, see How dimensions affect the level of detail in the view.
Disaggregating your data can be useful for analyzing measures that you may want to use both independently and dependently in the view. For example, you may be analyzing the results from a product satisfaction survey with the Age of participants along one axis. You can aggregate the Age field to determine the average age of participants or disaggregate the data to determine at what age participants were most satisfied with the product.
Disaggregating data can be useful when you are viewing data as a scatter plot. See Example: Scatter Plots, Aggregation, and Granularity.
NEW QUESTION # 21
When using a Blend, what is the color of tick-mark on the primary and secondary data sources respectively?
- A. Orange, Blue
- B. Blue, Orange
- C. Red, Blue
- D. Blue, Red
Answer: B
Explanation:
When using a Blend, the primary data source appears with a BLUE tick-mark and the secondary data source appears with a ORANGE tick-mark.
See below:
NEW QUESTION # 22
What two methods can you use to change the font of a worksheet title? Choose two.
- A. Select Format on the menu, and then select Font.
- B. Double-click the title in a particular view and use the dialog box.
- C. Select Format on the menu, and then select Title and Caption.
- D. Right-click the title in a view, and then select Format Title.
Answer: B,C
Explanation:
In Tableau, you can change the font of a worksheet title by double-clicking directly on the title in the view, which opens a dialog box where you can format the text, including changing the font. Another method is to use the Format menu; from there, you select "Title and Caption," which opens the Format Title pane on the left side of the screen, where you can change the font and other formatting options for the worksheet title.
NEW QUESTION # 23
Using the CoffeeChain table, create a Dual Axis chart showing the Sales (Bar chart) and Profit (Line Chart) for each Product type. What was the Profit for the Herbal Tea product type in 2013?
- A. 74,683
- B. 46,493
- C. 68,620
- D. 37,455
Answer: D
Explanation:
If you answered this question quickly and correctly, you're well prepared for the exam! Most students stumble while creating a Dual axis chart, so go ahead and give yourself a pat on the back!
To create a dual axis chart for the problem mentioned:
1) Drag Product Type to the column shelf, and Sales and Profit to the Row shelf:
2) Now, to focus on 2013, drag Date to the filter shelf and select only 2013:
3) Now, click on the Profit pill in the Rows Shelf, and select dual axis:
4) Now, in the marks shelf, choose Sales, and change the chart type to bar. Similarly, for Profit, change the chart type to Line.
Now the chart looks like this:
Now we change the Profit chart type to line:
5) Finally, we synchronise the axis as follows: Right click on the axis, and choose 'Synchronise axis'
And, our final view and answer is:
NEW QUESTION # 24
Which of the following is a good reason for using a bullet graph?
- A. Comparing the actual sales against the target sales
- B. Forecasting future sales
- C. Analysing the trend over a given time period
- D. Displaying the year-on-year growth in sales
Answer: A
Explanation:
A bullet graph is a variation of a bar graph developed to replace dashboard gauges and meters. A bullet graph is useful for comparing the performance of a primary measure to one or more other measures. Below is a single bullet graph showing how actual sales compared to estimated sales.
NEW QUESTION # 25
Which of the following are valid ways to trigger actions for a Dashboard?
- A. Hover
- B. Select
- C. Double click
- D. Menu
- E. Click
Answer: A,B,D
Explanation:
Whenever we want to add actions to a Dashboard, we can trigger then in the following 3 ways:
1) Select
2) Hover
3) Menu
Hover is best for highlighting, select for filtering. Menu action is added to the tooltip and user can decide whether to run that action or not (best for URL actions)
NEW QUESTION # 26
Which of the following lets you group related dashboard items together so you can quickly position them?
- A. Layout Blanks
- B. Layout Extensions
- C. Layout Containers
- D. Layout positioners
Answer: C
Explanation:
Layout containers let you group related dashboard items together so you can quickly position them. As you change the size and placement of items inside a container, other container items automatically adjust
NEW QUESTION # 27
By definition, Tableau displays measures over time as a ____________
- A. Stacked Bar
- B. Line
- C. Packed Bubble
- D. Bar
Answer: B
Explanation:
Line charts connect individual data points in a view. They provide a simple way to visualize a sequence of values and are useful when you want to see trends over time, or to forecast future values.
Please refer to the images below:
NEW QUESTION # 28
Which of the following is a discrete date part?
- A. February
- B. 01/23/2021
- C. 07Mar20l7
- D. 20Sep2016:9:8:8:6546
Answer: A
Explanation:
February is a discrete date part, because it is a specific value that can be used to group or filter data by month. 07Mar2017, 20Sep2016:9:8:8:6546, and 01/23/2021 are continuous date values, because they represent points along a continuous timeline that can be used for analysis.
NEW QUESTION # 29
If you use a percent difference Quick Table Calculation, what value will be the first data value?
- A. null
- B. 0
- C. 0000
- D. 1
Answer: A
Explanation:
When using a Percent difference, Tableau calculates what the percent change has occured as compared to the last data value. BUT, for the first data value, there is no previous value to compare it to. Hence, it appears as NULL.
NEW QUESTION # 30
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