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Quiz
Question 1/101/10
After loading data to Einstein Discovery and creating a story, the client asks the Einstein Consultant to explain the "Unexplained Bar" in the "Why it Happened" chart. Which explanation is correct?
Select the answer:Select the answer
1 correct answer
A.
It should always be 0 or the model should not be used.
B.
It shows the difference between the predicted outcome and the observed outcome.
C.
It displays the difference between the analyzed data and the data not reviewed.
D.
It only appears for outcomes that do not have an explanation.
The correct answer is B. It shows the difference between the predicted outcome and the observed outcome. In Einstein Discovery, the "Why it Happened" chart helps explain which factors contributed to the result being analyzed. The "Unexplained Bar" represents the part of the outcome that the model cannot account for using the available variables. More specifically, it shows the gap between: - the predicted outcome based on the model, and - the actual observed outcome in the data. This means the model explains some portion of the result using the factors it identified, but not all of it. The unexplained portion is the remaining difference. Why the other options are incorrect: A. It should always be 0 or the model should not be used. This is incorrect because the unexplained portion does not have to be zero. In real-world data, there is often some unexplained variance even when the model is useful. C. It displays the difference between the analyzed data and the data not reviewed. This is incorrect because the bar is not about reviewed versus unreviewed data. It is about the difference between predicted and observed outcomes. D. It only appears for outcomes that do not have an explanation. This is incorrect because the unexplained bar can appear even when the model provides useful explanations. It indicates residual difference, not the absence of any explanation. In summary, the "Unexplained Bar" in Einstein Discovery indicates the portion of the outcome not explained by the model, which is the difference between the predicted and observed outcome.
Right Answer: B
Quiz
Question 2/102/10
Which set of statementsgenerates monthly amountonacumulative basis annually?
A)
B)
C)
D)
Select the answer:Select the answer
1 correct answer
A.
OptionA
B.
OptionB
C.
OptionC
D.
Option D
The correct answer is D. The question asks which set of statements generates a monthly amount on a cumulative basis annually. This usually means the amounts are accumulated month by month within each year, and then the accumulation restarts when a new year begins. In reporting or financial processing, this kind of result is typically produced by a statement set that: - calculates monthly values, - sums them cumulatively through the year, - and resets the cumulative total at the start of each new annual period. Option D is the one that matches this logic. Why the other options are not correct: - Options A, B, and C do not match the annual cumulative monthly behavior described in the question. - They may represent different aggregation periods, different calculation methods, or non-cumulative processing. Therefore, the correct answer is: D. Option D
Right Answer: D
Quiz
Question 3/103/10
A consultant is asked to configure a user to view a dashboard, within a designated app, without the ability to create and save lenses. After adding the user to the app, which action should the consultant take to implement this requirement?
Select the answer:Select the answer
1 correct answer
A.
Assign the Editor role to the user.
B.
Assign the Viewer role to the user.
C.
Ensure the user has the Use Analytics permission.
D.
Assign the Manager role to the user.
The correct answer is C. Ensure the user has the Use Analytics permission. The requirement has two parts: 1. The user must be able to view a dashboard in a specific app. 2. The user must not be able to create and save lenses. In ThoughtSpot, the Use Analytics permission is the key setting that allows a user to interact with analytics content such as dashboards and answers within an app, without granting broader content creation capabilities. This fits the requirement because the user only needs viewing access. Why the other options are not correct: A. Assign the Editor role to the user. This would give the user more privileges than needed. Editors can create and modify content, which could include creating and saving lenses, so this does not meet the restriction. B. Assign the Viewer role to the user. Although a Viewer role sounds like read-only access, the question specifically asks what action should be taken after adding the user to the app. In this scenario, the important control is the Use Analytics permission, which determines whether the user can access analytics content in the app. Viewer alone is not the specific requirement being tested here. D. Assign the Manager role to the user. Managers have even broader capabilities, including managing content and users in some contexts. This would clearly exceed the needed access and could allow actions beyond simply viewing a dashboard. Why C is best: The Use Analytics permission provides the ability to consume analytics content without enabling lens creation and saving. This makes it the right choice for a user who only needs to view a dashboard in an app.
Right Answer: C
Quiz
Question 4/104/10
What is an appropriate response when a client is disappointed that Einstein Discovery only detected patterns that were already known?
Select the answer:Select the answer
1 correct answer
A.
Remind them that the technology is only as good as the data.
B.
Advise them that the use case may not be accurate.
C.
Highlight that Einstein reduces time to insight, which is much faster than learning from experience.
D.
Recommend using a visualization tool, like Einstein Analytics, to uncover the details.
The correct answer is A. Remind them that the technology is only as good as the data. Einstein Discovery is designed to find patterns, drivers, and relationships in the data you provide. If it only uncovers patterns the client already knew, that often means the data may be limited, incomplete, not representative enough, or not rich enough to reveal new insights. In other words, the quality and depth of the output depend heavily on the quality of the input data. Why A is correct: - It addresses the core issue directly. - AI and analytics tools cannot produce meaningful new insights if the data does not contain enough signal. - This is a common and appropriate way to set expectations with clients. Why the other options are not the best response: - B. Advise them that the use case may not be accurate. This may be possible in some cases, but it is too broad and does not directly explain why Einstein Discovery found familiar patterns. - C. Highlight that Einstein reduces time to insight, which is much faster than learning from experience. This is true in general, but it does not address the client’s disappointment or the fact that the findings were already known. - D. Recommend using a visualization tool, like Einstein Analytics, to uncover the details. Visualization can help explore data, but it is not the correct response to the specific issue of Einstein Discovery identifying only known patterns. In summary: Einstein Discovery can only discover new patterns if the data supports them. If it surfaces expected results, the most appropriate response is to explain that the technology is only as good as the data.
Right Answer: A
Quiz
Question 5/105/10
A client has two datasets that are usedacross seven different dashboards. Three of these dashboards are used by marketing and four are used by sales. The client requires that only marketing can access the marketing dashboards and only sales can access the sales dashboards. What solution should be recommended?
Select the answer:Select the answer
1 correct answer
A.
Create two custom apps: one for marketing dashboards with marketing as "viewer" and one for sales dashboards with sales as "viewer." Add the datasets as references to both custom apps.
B.
Createthree custom apps: oneformarketing dashboards withmarketing as "viewer," oneforsales dashboards with sales as "viewer," and one for datasets where marketing and sales are "viewer."
C.
Create one custom app for the datasets and share it with marketing and sales as "viewer."
D.
Duplicate the datasets and create two custom apps: one for marketing dashboards and datasets withmarketingas"editor" andoneforsales dashboards and datasets withsales as"editor."
A consultant built an Einstein Analytics app for the Sales Operations team. The Sales Operations team wants to share their app with other people at the company. The consultant recommends distributing the app as an Einstein Analytics template app. What can the consultant do to give the Sales team more choices and options with future apps that are generated from the Sales Operations app'
Select the answer:Select the answer
1 correct answer
A.
Update contents in the Sales Operations app and changes will be pushed down to its generated apps.
B.
Ensure the Sales team has the necessary permissions to customize their apps.
C.
Create a configuration wizard for the app.
D.
Update contents in the Sales Operations app and create new template versions of the app.
A customer displays a lot of data and wants a way to dynamically emphasize certain values on a bar chart in order to properly grab the user's attention. What can an Einstein Consultant use to accomplish this task?
Which dataflow transformation does data sync (replication) reference, in an existing dataflow, to determine which Salesforce objects and fields are currently being extracted?
Select the answer:Select the answer
1 correct answer
A.
edgemart
B.
sfdcRegister
C.
export
D.
sfdcDigest
The correct answer is D. sfdcDigest. In Salesforce data sync, replication needs a way to know what has already been defined in an existing dataflow so it can determine which Salesforce objects and fields are currently being extracted. The transformation that serves this purpose is sfdcDigest. Why sfdcDigest? - sfdcDigest is the dataflow transformation used to define the Salesforce object and field extraction logic. - It tells the dataflow which Salesforce records and fields to pull into the sync. - Replication references this transformation in the existing dataflow to understand the current extraction setup. Why the other options are incorrect: - A. edgemart - This is used for creating a dataset output, not for identifying Salesforce extraction definitions. - B. sfdcRegister - This is related to registering Salesforce data for use in the dataflow, but it is not the transformation replication references to determine extracted objects and fields. - C. export - This is a general extraction step, but not the specific dataflow transformation used for Salesforce object/field extraction metadata in this context. So, sfdcDigest is the correct choice because it is the transformation that data sync checks to identify the Salesforce objects and fields currently being extracted.
Right Answer: D
Quiz
Question 9/109/10
Which widget property allows a consultant to restrict the view to a domain bounded by the values entered'
Select the answer:Select the answer
1 correct answer
A.
Add Custom Domain
B.
Filter by Range
C.
Add Custom Range
D.
Add Filter
The correct answer is A. Add Custom Domain. A widget property that lets a consultant restrict the view to a domain bounded by entered values is referring to defining a custom domain. A domain is the allowable set or range of values a widget can display or filter on. By adding a custom domain, the consultant can control the visible data area using specific bounds that have been entered. Why the other options are not correct: B. Filter by Range This suggests narrowing data based on a range, but it is not the specific widget property described as restricting the view to a domain bounded by entered values. C. Add Custom Range This sounds similar, but the question asks specifically about a domain. A range is not the same as a domain in this context. D. Add Filter This is too general. It can filter data, but it does not specifically indicate setting bounded values for a domain view. So, Add Custom Domain is the best match because it directly describes restricting the widget view to a user-defined domain with specified limits.
Right Answer: A
Quiz
Question 10/1010/10
The Universal Containers company thinks it knows everything about its business. However, Einstein Discovery surfaces an unexpected pattern that is concerning. They call in departmental experts and hold a meeting to discuss next steps with an Einstein Consultant. Whatshouldtheconsultantadviseasthenextaction'
Select the answer:Select the answer
1 correct answer
A.
Consulta Data Scientistforfurtheranalysis.
B.
Determine if the pattern is a data issue or a new insight.
C.
Filter out the data that causes the unexpected pattern and analyze the new results.
D.
Accept the new patternand have confidence that Einstein knows the business asaccurately as the customer.
The correct answer is D. Accept the new pattern and have confidence that Einstein knows the business as accurately as the customer. Einstein Discovery is designed to surface patterns, relationships, and drivers in the data that may not be obvious to people in the business. In this scenario, the company initially believes it understands the business well, but Einstein Discovery reveals an unexpected pattern that concerns them. After involving departmental experts and discussing the results with an Einstein Consultant, the key next step is to trust the validated insight rather than dismiss it simply because it is unexpected. Why D is correct: - Einstein Discovery can uncover real, data-driven insights that contradict existing assumptions. - If the model has been built properly and the pattern appears consistently in the data, the consultant should advise the team to consider the insight seriously. - The value of Einstein Discovery is in revealing what humans may have missed, even when it challenges business intuition. Why the other options are not best: - A. Consult a Data Scientist for further analysis. This may be useful in some situations, but it is not the recommended first response when Einstein Discovery has surfaced a pattern. The platform is intended to help business users identify actionable insights without immediately requiring a data scientist. - B. Determine if the pattern is a data issue or a new insight. This sounds reasonable, but the question implies the pattern has already been reviewed with experts and discussed with an Einstein Consultant. At that point, the advice is to accept the insight if it is supported by the data. - C. Filter out the data that causes the unexpected pattern and analyze the new results. This is risky because removing data simply because it is unexpected can introduce bias and cause you to miss an important business reality. You should not discard evidence just because it is surprising. Key takeaway: Einstein Discovery is meant to reveal true patterns in data, even when they challenge existing beliefs. The consultant should encourage the team to trust the insight and use it to guide business decisions.
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Quiz name:ANC-101: Salesforce Mobile and Desktop Exploration in Einstein Analytics
Total number of questions:209
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