An Einstein Analytics consultant is notified of a performance issue with data sync (replication). The consultant researches the issue and determines that unnecessary data is being synced.
Which solution should the consultant implement to help improve data sync (replication) performance?
A. Modify dataflows to exclude unused fields and include a filter to extract relevant data.
B. Scale down the number of datasets to help improve data sync (replication) performance.
C. Start over again with new dataflows that exclude unused fields with a filter to extract relevant data.
D. Update the existing data sync (replication) process by removing unused fields with a filter to extract relevant data.
You can configure access to data at all of the following levels, except:
A. Organization
B. Records
C. Page Layouts
D. Objects
Which security feature can be used to give Regional Development Coordinator roles access to only their designated regions and seed bank orders?
A. Inherited security
B. Security predicates
C. Separate apps for each region
D. Sharing rules
A customer wants to change the default blue color on a bar chart. What is the easiest way to change blue to another color?
A. Use conditional formatting under the bar chart widget properties by selecting the dimension.
B. Use conditional formatting under the bar chart widget properties by selecting the measure.
C. Use bindings to specify a color per bar.
D. Create a compare table formula to specify a hidden metric for coloring purposes.
In a story investigating margin, large variations between product groups are dominating the story. Which action might an Einstein Consultant take to resolve this?
A. Add more data to the dataset.
B. Normalize the margin by product group.
C. Eliminate extreme values in the dataset.
D. Run separate stories for each region.
What does Einstein Analytics check when a user submits a query against a dataset?
A. Whether the user has access to the app
B. Which fields the user has access to
C. If the user has access to the dataset
D. Which rows the user has access to
The Universal Containers company used Einstein Analytics to create two datasets:
Dataset A: contains a list of activities with an "activitylD" dimension and a "userlD" dimension Dataset B: contains a list of users with a "userlD" dimension
The team wants to delete from Dataset A all activities related to users in Dataset B.
How can an Einstein Consultant help them achieve this?
A. Use the dataflow transformation "delete" and set "userlD" as the deletion ID.
B. Use a combination of dataflow transformations: "augment" and "filter."
C. Use an external ETL tool to extract both datasets and delete records.
D. Use the recipe operation "delete" and set "userlD" as the deletion ID.
A company wants to use Einstein Analytics to analyze the trend of their sales pipeline. The company wants to accelerate the sales process. To do so, they need to know the average time an opportunity spends in each stage. This value is not pre-calculated in Salesforce, so a consultant recommends using a dataflow to calculate it.
How can a dataflow be used to calculate the average time an opportunity spends in each stage?
A. computeExpression Transformation with SAQL Expression to calculate the duration
B. flatten Transformation with Offset Expressions to calculate the duration
C. computeRelative Transformation with offset parameter to calculate the duration
D. computeRelative Transformation with SAQL Expression to calculate the duration