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Free ANC-201 Exam Braindumps (page: 20)

Page 19 of 61
PDF with 242 Questions

In a story investigating margin, large variations between product groups are dominating the story.
Which action might an Einstein Consultant take to resolve this?

  1. Add more data to the dataset.
  2. Normalize the margin by product group.
  3. Eliminate extreme values in the dataset.
  4. Run separate stories for each region.

Answer(s): C



A dataset is ready for analysis in Einstein Discovery.

What is the first step a consultant should take after the data is loaded?

  1. Identify data types and define the appropriate data as numeric.
  2. Analyze data columns and decide which, if any, to drop.
  3. Produce a graph of the data to analyze.
  4. Load the data into Einstein Analytics

Answer(s): A



A company wants to build a webpage that displays KPIs that can be derived from values in datasets stored in Einstein Analytics. How can an Einstein Analytics consultant derive those KPIs from those datasets?

  1. Use the Analytics External Data API and leverage the "query" resource.
  2. Export the dataset as an XLS file and use the Einstein Analytics Connector for Excel.
  3. Use the Analytics REST API and leverage the -query" resource.
  4. Export the dataset as a CSV file and load it to an external database.

Answer(s): A



The Vice President of Sales wants to create a "Pipeline Trending" dashboard in Einstein Analytics that displays specific colors depending on the values of the fields.

Which two techniques can a consultant use to help address this requirement? Choose 2 answers

  1. Use an XMD file and assign colors to each field value.
  2. Use SAQL queries to calculate a color field and assign it to each field value.
  3. Use a compute Expression to calculate a color field and assign it to each field value.
  4. Use the "fields" menu when exploring the dataset and assign colors to each field value.

Answer(s): A,D






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