Exam TDS-C01 Realistic Dumps Verified Questions Free [Dec 12, 2024]
Valid TDS-C01 Dumps for Helping Passing Tableau Exam!
Tableau TDS-C01 certification is an excellent way for professionals to demonstrate their expertise in Tableau Desktop. Tableau Desktop is a powerful data visualization tool that is widely used in various industries, including finance, healthcare, and marketing. By earning the Tableau TDS-C01 certification, professionals can showcase their skills and expertise to potential employers and stand out in a competitive job market.
NEW QUESTION # 53
True or False: A reference line cannot be added from the Analytics Pane
- A. False
- B. True
Answer: A
Explanation:
Explanation
You can add a reference line to any continuous axis in the view.
To add a reference line:
Drag Reference Line from the Analytics pane into the view. Tableau shows the possible destinations. The range of choices varies depending on the type of item and the current view.
In a simple case, the drop target area offers three options:
NEW QUESTION # 54
Which of the following are interactive elements that can be added to a dashboard for users?
- A. Edit Tooltip Action
- B. URL Action
- C. Highlight Action
- D. Filter Action
Answer: B,C,D
Explanation:
We can perform filter, URL and highlight actions out of the above given choices on a dashboard. Please refer to the image below:
Graphical user interface Description automatically generated
NEW QUESTION # 55
Using the Time Series table, create a chart that shows the percent difference in Average Inventory on Hand for each Assortment by year and quarter.
How many quarters did the Electronics Assortment show a negative percent difference in the Average Inventory On Hand?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: B
Explanation:
If you chose 2, then you were very close but probably didn't plot the actual Percent Difference on your view. ( One of the marks is just over the line).
Firstly, Drop the Week ID onto the column shelf, and convert it to continuous since we need both Year and Quarter as mentioned in the question.
2) Next, Drop assortment to filters shelf so that we can focus on Electronics!
3) This should be your view now. Click on the Show Mark Labels icon as shown:
The final view is as follows, with 3 points below 0 ( i.e negative )
NEW QUESTION # 56
Data blending simulates a traditional _________________ Join
- A. Right
- B. Full Outer
- C. Left
- D. Inner
Answer: C
Explanation:
Data blending simulates a traditional left join. The main difference between the two is when the aggregation is performed. A join combines the data and then aggregates. A blend aggregates and then combines the data.
From the official website:
NEW QUESTION # 57
Which aggregation is available without requiring a table calculation or calculated field?
- A. Running total
- B. Sample covariance
- C. Standard deviation
- D. Percent of total
Answer: C
Explanation:
Standard deviation is an aggregation that is available without requiring a table calculation or calculated field. Standard deviation is a statistical measure that shows how much variation there is from the average value in a set of data. Standard deviation is one of the predefined aggregations in Tableau that can be applied to any measure by selecting it from the context menu of the measure or from the drop-down menu on the Marks card6 The other options are not aggregations that are available without requiring a table calculation or calculated field. Running total, sample covariance, and percent of total are all examples of table calculations, which are computations that are applied to the values in an entire table or partition of a table. Table calculations can be created by selecting them from the context menu of a measure or by using functions in a calculated field7
NEW QUESTION # 58
Which of the following are the options to export the data used to build the view / visualisations?
- A. CSV file
- B. MS Access Database
- C. JSON format
- D. PDF File
Answer: B
Explanation:
Explanation
You can export the data in a Tableau data source, including all or part of the records from your original data.
Alternatively, you can export only the portion of data used to generate the view.
Since the question mentions the data used to build the view, we'll focus on that :
*Export data in the view to Microsoft Access or .csv*
Export the data that is used to generate the view as an Access database (Windows only) or .csv file (Mac only).
1) In Tableau Desktop, select Worksheet > Export > Data.
2) Select a location and type a name for your Access database or .csv file.
3) Click Save.
4) If you're on Windows, the Export Data to Access dialog box displays to give you the option to immediately use the new Access database and continue working in Access without interrupting your work flow.
NEW QUESTION # 59
Larger image
What is this entire view referred to as in Tableau?
- A. Analytics Pane
- B. Summary Pane
- C. Data pane
- D. Distribution Pane
Answer: A
Explanation:
Distribution Pane
Explanation:
This is the Analytics pane! Read more from the official documentation below:
NEW QUESTION # 60
If you use a percent difference Quick Table Calculation, what value will be the first data value?
- A. 0000
- B. 0
- C. 1
- D. null
Answer: D
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.
Chart, line chart Description automatically generated
NEW QUESTION # 61
Using the dataset, create a bar chart showing the average Quantity broken down by Region, and filtered by Country to only show Japan. What was the average Quantity in the State of Tokyo?
- A. 3.704
- B. 3.840
- C. 3.500
- D. 3.000
Answer: A
NEW QUESTION # 62
Which type of chart can you create without using a dimension?
- A. Bar
- B. Treemap
- C. Stacked bar
- D. Highlight table
Answer: A
Explanation:
Bar charts in Tableau do not require a dimension to be created. You can create a bar chart using only a measure; this will produce a single bar that represents the aggregate of the measure values, such as the sum or average of sales.
NEW QUESTION # 63
Which of the following are valid ways of Grouping Data?
- A. Using Labels in the View
- B. Using Marks in the view
- C. From the Analytics Pane
- D. From the Dimensions Shelf
Answer: A,B,D
Explanation:
**IMPORTANT QUESTION AND EXPLANATION, PLEASE READ**
3 ways to group data -
1) Marks
2) Labels
3) Dimensions shelf.
*IMPORTANT*
If we Group the data by selecting the marks, then they remain separate marks in the view and then have the same colour. Also, a new group is created in the Dimensions shelf. Example - Using the sample superstore dataset, first plot a bar chart showing sales for each sub-category:
Here, if we Select Phones, Chairs and Storage by selecting the MARKS (Bars), and then group them:
They remain seperate marks (BARS) but are grouped by the same colour.
Now, if we didn't do this, and rather grouped by selecting their Labels (Names):
Then they no longer remain separate Marks (bars) but are rather consolidated into a single Bar:
Finally, we can group directly from the Dimensions shelf as follows:
Now choose Phones, Chairs and Storage and Click Group:
You will now automatically have a new Dimension as follows:
NEW QUESTION # 64
The row and column shelves contain ___________________
- A. Filters
- B. Parameters
- C. Grand Totals
- D. Pills
Answer: D
Explanation:
We can drag fields from the Data pane to create the structure for your visualizations.
The Columns shelf creates the columns of a table, while the Rows shelf creates the rows of a table. You can place any number of fields on these shelves.
These FIELDS are also referred to as PILLS. See below:
NEW QUESTION # 65
Is it possible to deploy a URL action on a dashboard object to open a Web Page within a dashboard rather than opening the system's web browser?
- A. NO, this is not currently possible in Tableau
- B. YES, we can do this with the help of Tableau Public
- C. YES, we can do this with the help of a plugin
- D. YES, we can do this with the help of a Web-Page object
Answer: D
Explanation:
To interactively display information from the web INSIDE a dashboard, you can use a URL action with a web page object.
For example, you might have a dashboard that shows profits by country. In addition to showing the profit data in your dashboard, you also want to display supplemental information about the countries from a web site.
NEW QUESTION # 66
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 # 67
Which Sub-Category had the least Profit in the Office Supplies category?
- A. Envelopes
- B. Fasteners
- C. Binders
- D. Labels
Answer: B
Explanation:
To reach the correct answer, follow the steps below:
1) Drag Category, and sub-category to the row shelf. Drag Profit to the Column shelf
2) Click the Sort-ascending icon as shown above, to sort the profits from least to greatest as shown:
Click the 'Show mark labels icon'
As we can see, Fasteners has the least Profit in the Office Supplies Category, and hence is our correct answer!
NEW QUESTION # 68
True or False: Physical tables remain distinct (normalized), not merged in the data source whereas logical tables are merged into a single, flat table.
- A. False
- B. True
Answer: A
Explanation:
In fact, the opposite of this is true.
Trick : Whenever you think of joins -> Think that after the join is created, we get 1 single flat combined (joined) table. This flat combined table is created prior to us creating our visualizations. This happens at the physical layer.
If you ever think about relationships, know that all tables will remain distinct and separate, and relationships sit at the logical layer. At run time, when you bring in the dimensions and measures to create your viz, Tableau very smartly creates the necessary joins, relates the tables and sends queries to these tables to get the resultant data back in the most meaningful way possible. This allows you to focus on using your data and revealing insights from it and focus less on the data preparation aspect!
Refer to logical layer vs physical layer from the official documentation: https://help.tableau.com/current/server/en-us/datasource_datamodel.htm
NEW QUESTION # 69
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