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Salesforce ANC-301 exam is a valuable certification for individuals who want to advance their careers in the Salesforce ecosystem. Tableau CRM is a popular platform that enables users to create insightful dashboards and analytics reports. Passing the exam demonstrates that the candidate has the skills and knowledge required to implement and manage Tableau CRM solutions effectively.

Salesforce ANC-301 Exam is a certification program designed for professionals who want to demonstrate their knowledge and skills in Tableau CRM implementation and management. ANC-301 Exam is designed to test the candidate's understanding of Tableau CRM's functionality, its deployment, and customization. Implement and Manage Tableau CRM certification program is highly sought-after in the IT industry and can help professionals to advance their career in data analytics, business intelligence, and sales automation.

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Earning the ANC-301 certification can help professionals stand out in the competitive job market and advance their careers. Certified Tableau CRM experts are highly sought after by organizations looking to leverage data insights to drive business growth and improve customer experiences. Additionally, ANC-301 Certification holders can join the Tableau CRM community, where they can connect with other certified professionals and stay up-to-date on the latest industry trends and best practices.

Salesforce Implement and Manage Tableau CRM Sample Questions (Q103-Q108):

NEW QUESTION # 103
A client has a dashboard for Sales Managers. They want to have a list filter that shows the name of the month. However, based on the "CloseDate_Month" field, the list filter shows numbers instead of names.
How can an Einstein Consultant use the Dataflow nodes to generate the name of month as a new dimension in the dataset?

A. compute Expression
B. compute Relative
C. append
D. flatten

Answer: A

NEW QUESTION # 104
A CRM Analytics consultant has enabled data sync manually in an org that uses dataflows/recipes. The client says that the dataflow/recipe fails each time it starts running.
What is causing the dataflow/recipe to fail?

A. Dataflows/recipes with Augment nodes fail until sync has run for the first time.
B. Dataflows/recipes with sfdcDigest nodes fail until sync has run for the first time.
C. Dataflowsysrecipes with computeExpression nodes fail until syne has run for the first time.

Answer: B

NEW QUESTION # 105
What does the Division is Naval section of the waterfall graph tell you?

A. How combinations of factors affect the CLV for Naval customers
B. What the relationship is between significant and insignificant factors as they impact CLV for Naval customers
C. How individual factors separately affect the outcome for Naval customers
D. How the chosen variable is related to all other factors in the model for Naval customers

Answer: A

Explanation:
https://trailhead.salesforce.com/en/content/learn/modules/dm_einstein_discovery_advanced_stories/dm_understand_why_it_happened_insights

NEW QUESTION # 106
A dataset for building the Einstein Discovery story contains 72 fields that are potentially relevant predictors.
Which approach is considered best practice to assess the top predictors in order to get to a meaningful and robust model?

A. Go back to the data preparation and reduce the number of fields to less than 30 in order to produce a story.
B. Build a story with a first set of predictors and assess which predictors are important to the story. Then drop the less important ones and add the predictors that were omitted in the first run and assess their impact.
C. Build the story with all the predictors and indicate that Einstein Discovery should show the top predictors.
D. This dataset is too big and cannot be used in Einstein Discovery. Request a new dataset with fewer predictors.

Answer: B

Explanation:
Reference:
https://medium.com/@kshannon565/ea-certification-study-guide-part-3-einstein-discovery-story-design-70ffbe4666c2

NEW QUESTION # 107
Yasmine told Danielle she's interested in using the artificial intelligence provided by Einstein Discovery to enhance analysis Mosaic probably wouldn't have considered through their own means. How can Danielle use Einstein Analytics to load data into Einstein Discovery?

A. Danielle needs a permission set containing the Download Analytics Data permission, then she can use the Export node to load data into Einstein Discovery.
B. Data loaded into Einstein Analytics as datasets can then be used in Einstein Discovery without a separate load process.
C. Danielle needs a permission set containing the Upload External Data to Analytics permission, then she can log into Einstein Discovery and import the data from there.
D. It's not possible. Danielle will need to log into Einstein Discovery and import the data from there.

Answer: B

NEW QUESTION # 108
......

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