Salesforce DATA-CLOUD-CONSULTANT Online Practice Questions and Exam Preparation

Salesforce DATA-CLOUD-CONSULTANT Online Questions & Answers

• Question 151:

  A client wants to bring in loyalty data from a custom object in Salesforce CRM that contains a point balance for accrued hotel points and airline points within the same record. The client wants to split these point systems into two separate records for better tracking and processing.

  What should a consultant recommend in this scenario?

  A. Clone the data source object.
  B. Use batch transforms to create a second data lake object.
  C. Create a junction object in Salesforce CRM and modify the ingestion strategy.
  D. Create a data kit from the data lake object and deploy it to the same Data Cloud org.
  B. Use batch transforms to create a second data lake object.

  ---

  Batch transforms are a feature that allows creating new data lake objects based on existing data lake objects and applying transformations on them. This can be useful for splitting, merging, or reshaping data to fit the data model or business requirements. In this case, the consultant can use batch transforms to create a second data lake object that contains only the airline points from the original loyalty data object. The original object can be modified to contain only the hotel points. This way, the client can have two separate records for each point system and track and process them accordingly. References: Batch Transforms, Create a Batch Transform

• Question 152:

  Which data stream category should be assigned to use the data for time-based operations in segmentation and calculated insights?

  A. Individual
  B. Transaction
  C. Sales Order
  D. Engagement
  B. Transaction

  ---

  Data streams are the sources of data that are ingested into Data Cloud and mapped to the data model. Data streams have different categories that determine how the data is processed and used in Data Cloud. Transaction data streams are used for time-based operations in segmentation and calculated insights, such as filtering by date range, aggregating by time period, or calculating time-to-event metrics. Transaction data streams are typically used for event data, such as purchases, clicks, or visits, that have a timestamp and a value associated with them. References: Data Streams, Data Stream Categories

• Question 153:

  Which statement is true related to batch ingestions from Salesforce CRM?

  A. When a column is added or removed, the CRM connector performs a full refresh.
  B. The CRM connector performs an incremental refresh when 600K or more deletion records are detected.
  C. The CRM connector's synchronization times can be customized to up to 15-minute intervals.
  D. CRM data cannot be manually refreshed and must wait for the next scheduled synchronization.
  A. When a column is added or removed, the CRM connector performs a full refresh.

• Question 154:

  What is a key functionality of Data Cloud?

  A. To create a master data management (MUM) strategy
  B. To give a persistent ID for unified profiles
  C. To build insights on unified profiles
  D. To help users build a heat map using their data
  C. To build insights on unified profiles

• Question 155:

  A consultant has an activation that is set to publish every 12 hours, but has discovered that updates to the data prior to activation are delayed by up to 24 hours.

  Which two areas should a consultant review to troubleshoot this issue? Choose 2 answers

  A. Review data transformations to ensure they're run after calculated insights.
  B. Review calculated insights to make sure they're run before segments are refreshed.
  C. Review segments to ensure they're refreshed after the data is ingested.
  D. Review calculated insights to make sure they're run after the segments are refreshed.
  B. Review calculated insights to make sure they're run before segments are refreshed.
  C. Review segments to ensure they're refreshed after the data is ingested.

  ---

  The correct answer is B and C because calculated insights and segments are both dependent on the data ingestion process. Calculated insights are derived from the data model objects and segments are subsets of data model objects that meet certain criteria. Therefore, both of them need to be updated after the data is ingested to reflect the latest changes. Data transformations are optional steps that can be applied to the data streams before they are mapped to the data model objects, so they are not relevant to the issue. Reviewing calculated insights to make sure they're run after the segments are refreshed (option D) is also incorrect because calculated insights are independent of segments and do not need to be refreshed after them. References: Salesforce Data Cloud Consultant Exam Guide, Data Ingestion and Modeling, Calculated Insights, Segments

• Question 156:

  The Data Cloud admin at Northern Trail Outfitters (NTO) wants to be proactively and immediately informed via Slack and email if any of the data streams fail for any reason. If this happens, a case should also be triggered as part of NTO's existing support and triage process, and reflected in its global monitoring dashboard.

  What should a consultant recommend for these requirements?

  A. Data actions
  B. Data Cloud Query Editor
  C. Salesforce flows
  D. Salesforce reports and dashboards
  C. Salesforce flows

• Question 157:

  A consultant is helping a beauty company ingest its profile data into Data Cloud. The company's source data includes several fields, such as eye color, skin type, and hair color, that are not fields in the standard Individual data model object (DMO).

  What should the consultant recommend to map this data to be used for both segmentation and identity resolution?

  A. Create a custom DMO from scratch that has all fields that are needed.
  B. Create a custom DMO with only the additional fields and map it to the standard Individual DMO.
  C. Create custom fields on the standard Individual DMO.
  D. Duplicate the standard Individual DMO and add the additional fields.
  C. Create custom fields on the standard Individual DMO.

  ---

  The best option to map the data to be used for both segmentation and identity resolution is to create custom fields on the standard Individual DMO. This way, the consultant can leverage the existing fields and functionality of the Individual DMO, such as identity resolution rulesets, calculated insights, and data actions, while adding the additional fields that are specific to the beauty company's data1. Creating a custom DMO from scratch or duplicating the standard Individual DMO would require more effort and maintenance, and might not be compatible with the existing features of Data Cloud. Creating a custom DMO with only the additional fields and mapping it to the standard Individual DMO would create unnecessary complexity and redundancy, and might not allow the use of the custom fields for identity resolution.

• Question 158:

  Northern Trail Outfitters has the following customer data to ingest into Data Cloud and use for segmentation.

  1.

  Propensity to purchase

  2.

  Has active membership

  3.

  Work email address

  Which data types should the consultant use when ingesting this data?

  A. Number, Text, URL
  B. Percent, Boolean, Email
  C. Number, Boolean, Text
  D. Percent, Number, Email
  B. Percent, Boolean, Email

• Question 159:

  During discovery, which feature should a consultant highlight for a customer who has multiple data sources and needs to match and reconcile data about individuals into a single unified profile?

  A. Harmonization
  B. Data Cleansing
  C. Data Consolidation
  D. Identity Resolution
  D. Identity Resolution

  ---

  The feature that the consultant should highlight for a customer who has multiple data sources and needs to match and reconcile data about individuals into a single unified profile is D. Identity Resolution. Identity Resolution is the process of identifying, matching, and reconciling data about individuals across different data sources and creating a unified profile that represents a single view of the customer. Identity Resolution uses various methods and rules to determine the best match and reconciliation of data, such as deterministic matching, probabilistic matching, reconciliation rules, and identity graphs. Identity Resolution enables the customer to have a complete and accurate understanding of their customers and their interactions across different channels and touchpoints. References: Salesforce Data Cloud Consultant Exam Guide, Identity Resolution

• Question 160:

  A customer notices that their consolidation rate is low across their account unification. They have mapped Account to the Individual and Contact Point Email DMOs. What should they do to increase their consolidation rate?

  A. Change reconciliation rules to Most Occurring.
  B. Disable the individual identity ruleset.
  C. Increase the number of matching rules.
  D. Update their account address details in the data source
  C. Increase the number of matching rules.