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Practice with CRM-Analytics-and-Einstein-Discovery-Consultant Dumps for Salesforce Consultant Certified Exam Questions & Answer
Salesforce CRM-Analytics-and-Einstein-Discovery-Consultant Exam Syllabus Topics:
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NEW QUESTION # 18
Exhibit.
Given that the queries are using different datasets, which change should a CRM Analytics consultant make to solve this issue?
- A. Use result binding/Interaction in the filters section of the query "Type 1".
- B. Use "Connect Data Sources" and create a connection to connect the two datasets.
- C. Use "Connect Data Sources" and create a connection to connect the two widgets.
Answer: B
NEW QUESTION # 19
A large company is rolling out Einstein Analytics to their field sales. They have a well-defined role hierarchy where everyone is assigned to an appropriate node on the hierarchy.
An individual Sales rep should be able to view all opportunities that she/he owns or as part of the account team or opportunity team. The Sales Manager should be able to view all opportunities for the entire Sales team. Similarly, the Sales Vice President should be able to view opportunities for everyone who rolls up in that hierarchy.
The opportunity dataset has a field called 'Ownerld' which represents the opportunity owner.
Given this information, how can an Einstein Consultant implement the above requirements?
- A. As part of the dataflow, use the flatten operation on the role hierarchy and create a multivalue attribute called 'ParentRolelDs' on the opportunity dataset and apply following security predicate: 'ParentRolelDs' == "$User.UserRoleId" || TeamMember.Id' == "$User. Id" || 'Ownerld' == "SUser.Id".
- B. As part of the dataflow, use computeRelative on the Roleld field to create an attribute called 'ParentRolelDs' on the opportunity dataset and apply following security predicate: 'ParentRolelDs' == "$User.UserRoleId" || 'Ownerld' == "$User.Id".
- C. As part of the dataflow, use computeExpression on the Roleld field to create an attribute called 'ParentRolelDs' on the opportunity dataset and apply following security predicate: 'ParentRolelDs' == "$User.UserRoleId" || 'Ownerld' == "$User.Id".
- D. As part of the dataflow, use the flatten operation on the role hierarchy and create a multivalue attribute called 'ParentRolelDs' on the opportunity dataset and apply following security predicate: 'ParentRolelDs' == "$User.UserRoleId" && 'Ownerld' == "SUser.Id".
Answer: A
NEW QUESTION # 20
Number of queries per user per day
- A. 20,000
- B. 10,000
- C. 1,000
- D. 50,000
Answer: B
NEW QUESTION # 21
Which of the following is true about the Service Analytics Overview dashboard?
- A. It lets you drill down to more detailed dashboards, like agent performance, channel review, and telephony metrics.
- B. All of the above.
- C. It's available on desktop and mobile.
- D. It's a great place to start your analysis.
- E. It instantly provides key metrics on open cases, average time to close, first contact resolution, and customer satisfaction.
Answer: B
NEW QUESTION # 22
What are the two types of bindings? Choose 2:
- A. Description bindings
- B. Data bindings
- C. Selections bindings
- D. Results binding
Answer: C,D
NEW QUESTION # 23
Refer to the exhibit.
Universal Containers reports that nay selection in the List widget is not affecting the pie chart in one of their tableau CRM dashboard. They query options associated with the List widget and Pie chart are shown in the graphic Which change can a Tableau CRM Consultant implement to solve this issues, given that the queries are using the same dataset?
- A. Set faceting to all instead of None in the query "Region_1."
- B. Use result binding/interaction in the filters section of the query "Step_pie_1."
- C. Use selection binding/interaction in the filters section of the query "Region_1."
- D. Set faceting to All instead of None in the query "Step_pie_1."
Answer: D
NEW QUESTION # 24
After the initial creation of a story, the first story insight explains 93% of the variation of the outcome variable. This is unusual high?
What is the most likely multiple for this?
- A. The dataset contains too many rows.
- B. The outcome variable is causing data leakage.
- C. The dataset used in the story suffers from too many outlier values.
- D. The dataset contains multiple dominant values.
Answer: D
NEW QUESTION # 25
Which recommended technique should a CRM Analytics consultant
use to access CRM Analytics data from a remote app or website?
- A. Use HTTPS to call the /wave/query API, supplying an encoded SAQL query as a parameter.
- B. Export the data to a CSV file and load it on the remote site.
- C. Use an iFrame to embed the Salesforce page in a remote site.
Answer: A
NEW QUESTION # 26
CRM Analytics team is asked to build a Service Analytics dashboard for the service agents.
What are the main "Deep Design Thinking" principles the team should keep in mind during the discovery sessions?
- A. Clarity - Efficiency - Consistency
- B. Purpose - Structure - Surface
- C. Priority - Logic - Level of Granularity
Answer: B
NEW QUESTION # 27
The Tableau CRM team at a company has created three dataflows.
myDataflowOne: this dataflow tasks 2 hours to run.
myDataflowOne: this dataflow tasks 1 hours and 30 minutes to run
myDataflowOne: this dataflow tasks 1 minute and 30 seconds to run.
If all three dataflows run, how many count towards the limit?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: B
NEW QUESTION # 28
A consultant wants to understand what the important predictors are in a model.
Where is this information found?
- A. Model Deployment Wizard
- B. Model Settings
- C. Einstein Recommendations
Answer: B
Explanation:
The important predictors of a model in CRM Analytics can typically be found under the Model Settings. This area provides detailed information about the configuration and the inputs (predictors) used to train the model. Insights into which predictors have the most significant impact on the model's outcomes can be gleaned from this section, enabling a deeper understanding of the model's internal workings and the factors driving predictions.
NEW QUESTION # 29
A customer is reviewing a story that is set to maximize the daily sales quantity of consumer products in stores, and the customer sees chart related to promotional activities and to San Francisco specifically.
What conclusion can be drawn from this insight?
What conclusion can be drawn from this Insight?
- A. The Other stores (visualized with the gray bars) show no significant data for the sales promotions.
- B. Of all promotions types in San Francisco, sales were the highest using Display promotion.
- C. Promotions increase sales stronger in San Francisco than they do in other cities.
- D. The best promotion type is Display.
Answer: C
NEW QUESTION # 30
A CRM Analytics consultant is performing column profiling on dimension column in a recipe. Newly-added rows are not being considered in the Results tab of the profile even though a sync was run for that specific object.
What is causing the issue?
- A. Sync operation has not run properly with the new dimension column in the recipe.
- B. The sample does not include changes to the connected object data within the last 24 hours.
- C. Column profiling Is not applicable on a dimension column in a recipe.
Answer: B
NEW QUESTION # 31
When organizing information in an Einstein Analytics dashboard, what does the "Progressive Disclosure' design principle mean'
- A. Intentionally omit specific details so that users can do ad-hoc exploration if needed for root-cause analysis.
- B. Utilize the latest templates for the most modern look and feel.
- C. Implement strict security predicates to minimize the amount of information displayed to users.
- D. Only provide the user with the level of detail they need to see, with the option to drill down deeper into more details.
Answer: D
NEW QUESTION # 32
A Einstein Analytics consultant is asked to help a company report on their sales activity. The company wants to train some users to create their own dashboards. They also want another team to only be able to use the dashboards.
What must be configured to address these requirements?
- A. Grant "Manage" access permission to the apps.
- B. Create two permission sets with different system permissions.
- C. Create a permission set license assignment with two different levels of access-
- D. Use a permission set license with two different levels of access.
Answer: B
NEW QUESTION # 33
Universal Containers (UC) is rolling out CRM Analytics to its field sales that include dashboards withorder data from an external source.
UC has a well-defined role hierarchy where everyone is assigned to an appropriate node on the hierarchy. In addition, the order data has a reference to a Salesforce opportunity.
An individual sales rep should be able to view all orders that they own or as part of the account team or opportunity team. The sales manager should be able to view all orders for the entire sales team. Similarly, the VP of sales should be able to view orders for everyone who rolls up in that hierarchy.
The dataset has a field called Ownerld which represents the order owner.
Given this information, how should a CRM Analytics consultant implement the above requirements?
- A. As part of the recipe, use a formula on the Roleid fild to create an attribute called 'ParentRolelDs' on the dataset, and apply the following security predicate: 'ParentRolelDs' == ''$UserRoleId'' || Owned\ == '$User,id\\,
- B. As part of the recipe, use the flatten operation on the role hierarchy, create a multi-value attribute called 'ParentRoleIDs' on the dataset, and apply the following security predicate: 'ParentRoleIDs' == "$User.UserRoleld" || 'TeamMember.Id' '$User, Id" || 'Ownerld' == "$User.Id".
- C. As part of the recipe, use a multi row formula on the Roleld field to create an attribute called 'ParentRoleIDs' on the dataset, and apply the following security predicate: "$User.UserRoleld" || 'Ownerld' == "$User.Id".
Answer: B
Explanation:
In addressing the requirements of Universal Containers to ensure proper visibility of order data across different levels of the sales hierarchy, the use of a security predicate based on role hierarchies is paramount. Here's why Option B is the ideal approach:
Flatten Operation on Role Hierarchy: This operation is essential as it allows for the creation of a simplified or "flattened" view of the hierarchical relationships within the organization. This flattened view enables the dataset to understand and respect the hierarchical structure in security implementations.
Creating a Multi-value Attribute ('ParentRoleIDs'): By creating this attribute, the recipe can hold multiple role IDs that a particular user has visibility permissions for. This is crucial in a hierarchical organization like UC where data visibility needs to cascade down the hierarchy.
Security Predicate: The predicate ('ParentRoleIDs' == "$User.UserRoleld" || 'TeamMember.Id' == '$User.Id' || 'Ownerld' == "$User.Id") effectively enforces that:
A user can see all orders where their role matches any of the role IDs in the 'ParentRoleIDs' list (hierarchical visibility).
A user can see all orders where they are specifically listed as a team member.
A user can see all orders where they are the owner.
This approach aligns with best practices for implementing row-level security in CRM Analytics, ensuring data visibility is managed correctly according to the defined organizational hierarchy and individual data ownership.
NEW QUESTION # 34
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