INSTANT CRM-ANALYTICS-AND-EINSTEIN-DISCOVERY-CONSULTANT ACCESS, EXAM TOPICS CRM-ANALYTICS-AND-EINSTEIN-DISCOVERY-CONSULTANT PDF

Instant CRM-Analytics-and-Einstein-Discovery-Consultant Access, Exam Topics CRM-Analytics-and-Einstein-Discovery-Consultant Pdf

Instant CRM-Analytics-and-Einstein-Discovery-Consultant Access, Exam Topics CRM-Analytics-and-Einstein-Discovery-Consultant Pdf

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Salesforce CRM-Analytics-and-Einstein-Discovery-Consultant Exam Syllabus Topics:

TopicDetails
Topic 1
  • Analytics Dashboard Design: Building upon the design foundation, this section challenges candidates to bring their dashboard designs to life. It covers the technical expertise required to scope, validate, and prioritize dashboard design requirements.
Topic 2
  • Einstein Discovery: This section unveils the magic of AI-driven insights and candidates' ability to analyze and choose one of the three types of predictions. It involves leveraging Einstein's advanced analytics capabilities to adjust data parameters, add or remove data and columns for the improvement of the model.
Topic 3
  • Admin
  • Configuration: This topic takes Salesforce consultants on a journey through the enablement of CRM Analytics. It tests their ability to design a solution that is suitable for data sync
  • dataflows
  • recipes limits.

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q93-Q98):

NEW QUESTION # 93
A project team member uploads a CSV file to CRM Analytics, and they notice a few records failed during the upload. The manager wants to view the error log generated so this can be fixed and uploaded again. The manager has the CRM Analytics administrator permission but is unable to download the error log details.
Why is the manager unable to download the log details?

  • A. They do not have the Upload External Data to CRM Analytics permission enabled.
  • B. They do not have the Download CRM Analytics Data permission enabled.
  • C. Only the user who uploaded the external data file can download the error log.

Answer: C

Explanation:
In CRM Analytics, when a CSV file is uploaded and errors occur during the upload process, an error log is generated. However, only the user who uploaded the external data file can download the error log, even if other users have administrative permissions. This restriction ensures that only the user responsible for the data upload can access the details to resolve the issues.


NEW QUESTION # 94
After the initial creation of a model, the first model insight explains
93% of the variation of the outcome variable. This is unusually high.
What is the most likely reason for this?

  • A. The dataset contains multiple dominant values.
  • B. The outcome variable may be causing data leakage.
  • C. The model contains too many outlier values.

Answer: B


NEW QUESTION # 95
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.
A set of JSON files will be generated after a template is created from the Sales Operations app. What is the name of the JSON file that manages template metadata and all other template elements'

  • A. aster- info.j son
  • B. ui.json
  • C. template-to-app-rules.json
  • D. template-info.json

Answer: D


NEW QUESTION # 96
Universal Containers (UC) builds three Einstein Discovery models in Salesforce to predict and maximize its revenue per customer. The models are for every region UC has a business: EMEA, AMER, and APAC.
How should a consultant help UC deploy the three Einstein models to Salesforce?

  • A. Segment the account data per region and deploy the appropriate model for each segment.
  • B. Filter the account data per region and deploy the same model to all segments.
  • C. Deploy the same mode! to all accounts and use an Apex trigger to segment the prediction.

Answer: A

Explanation:
In deploying Einstein Discovery models that are tailored to different regions (EMEA, AMER, and APAC), the best approach is to segment the account data by region and apply the specific model designed for each segment. This method ensures the following:
Relevance and Accuracy: Each model can be specialized to understand and predict based on regional dynamics, which may differ significantly across geographies in terms of market behavior, customer preferences, and economic conditions.
Efficiency: Deploying region-specific models avoids the dilution of predictive power that might occur if a single model were used across all regions, which could lead to less accurate predictions.
Scalability: This approach is scalable as UC can further refine each model as more regional data becomes available or as regional market conditions evolve.


NEW QUESTION # 97
Cloud Kicks' Salesforce org has multiple currencies enabled. This company's business intelligence team uses CRM Analytics to build a dataflow/recipe that creates a dataset, "OpportunityDataSet", which is populated with data extracted from Opportunity. One of the extracted fields is the standard field, Amount.
Which currency will the Amount values be shown in "OpportunityDataSet"?

  • A. In the integration user's currency
  • B. In the currency that Is set on the "currency" attribute.
  • C. the connected user's currency

Answer: A

Explanation:
When a dataset like "OpportunityDataSet" is populated through a dataflow or recipe in CRM Analytics, the currency values (such as the standard field "Amount") will be displayed in the currency of the integration user unless there is specific currency conversion logic set up within the dataset or recipe. The integration user is the user whose credentials are used to run the dataflow and extract data, and their currency setting will dictate how numeric currency values are displayed unless overridden.


NEW QUESTION # 98
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