REVIEW QUESTION 1 (L point possblel Which of the following are true regarding hi

Question

REVIEW QUESTION 1 (L point possblel Which of the following are true regarding hierarchies in Watson Analytics? rns, tive If natural relationships exist in your data, Watson Analytics may automatically detect and create hierarchies when the data set is imported. O You can add a hierarchy using the Refine feature. You can add a hierarchy in a Discovery. Adding a hierarchy lets you drill through from one Discovery set to another. ? ess CHECK SAVE You have used O of 2 submissions Feedback REVIEW QUESTION 2 When specifying the data items to be used to catculate new vatues, the data items can come from any data set

Explanation / Answer

IBM Watson Analytics:

IBM Watson Analytics is a cloud based tool for data science and data analytics. This tool navigated as data, discovery and display. It handles huge amount of un-structured data to provide data visualization and automated discovery for the data analytics.

1.

Option A:

Watson analytics helps to explore the data set to detect and create hierarchies when data set is imported. It can be achieved through Watson natural language and checked using Refine feature.

Hence, Option A) is correct.

Option B:

No, it’s not possible to add hierarchy in refine feature. we can’t add or remove hierarchy based on the level in the Data tab using the refine feature. Refine feature used to view the quality score for each column and viewing the thumbnail visualization of the data value distributions in that column,

Hence, Option B) is Incorrect.

Option C:

Adding hierarchy is possible in Discovery tab. Discovery tab is used to create a new hierarchy and view the existed hierarchies, and create own visualization to replacing data with the existed columns. It can also use to add new discoveries from the existed discoveries. It also exploring the data and discovering new insights.

Hence, Option C) is Correct.

Option D:

No, adding data level hierarchy cannot be used to drill up and drill down from one Discovery set to another data set. It can be possible in category to sub category with in the Discovery set.

Hence, Option D) is incorrect.

Hence options A and C are correct from the above options.

2.

No, the data items to be used to calculate new values, data items can't come from any existing data set.

The data set on which the refine feature is currently being used, can only be used for calculations.

Calculations are saved for reuse like macros. The name of the column of current data set can only be written in calculations.

Hence, the answer is False.

3.

Option A)

Data grouping means arrange the data equally for reading analysing the data easily. To create default groupings in Watson analytics applicable only for the continuous data.

So, the default grouping does not operate on the categorial data.

Hence, the option A is incorrect.

Option B)

In data grouping the number of grouping levels can be changed only for continuous data. But not for the categorial data.

Hence, the option B is incorrect.

Option C)

Yes, default groupings can change the number of grouping levels and the data values in the column are retrieved, and user can create their own groupings for the categorial data only.

Hence, the option C is correct.

Option D)

To create data group first step is to provide a name for that group in the data grouping process to analyse the data easier manner. Hence, the data group must have a name.

Hence, the option D is correct.

Hence, the correct options are C and D.

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