[Jan 09, 2025] Get Unlimited Access to Data-Cloud-Consultant Certification Exam Cert Guide [Q42-Q64]

Data-Cloud-Consultant Salesforce

admin • January 9, 2025

[Jan 09, 2025] Get Unlimited Access to Data-Cloud-Consultant Certification Exam Cert Guide [Q42-Q64]

4.4/5 - (5 votes)

[Jan 09, 2025] Get Unlimited Access to Data-Cloud-Consultant Certification Exam Cert Guide

Reliable Study Materials for Data-Cloud-Consultant Exam Success For Sure

Salesforce Data-Cloud-Consultant Exam Syllabus Topics:

Topic	Details
Topic 1	Act on Data: This topic defines activations and their basic use cases, using attributes and related attributes, identifying and analyzing timing dependencies affecting the Data Cloud lifecycle. Additionally it focuses on troubleshooting common problems with activations, and using data actions, including their requirements and intended use cases.
Topic 2	Data Cloud Setup and Administration: This topic includes applying Data Cloud permissions, permission sets, org-wide settings. It describes and configures data stream types, and data bundles. Moreover, it discusses use cases for data spaces, creating data spaces, managing and administering Data Cloud using reports, dashboards, flows, packaging, data kits, diagnosing and exploring data using Data Explorer, Profile Explorer, and APIs.
Topic 3	Identity Resolution: It describes matching and how its rule sets are applied. Furthermore, it discusses reconciling data and its rule sets, the results of identity resolution, and use cases.
Topic 4	Data Cloud Overview: This topic covers Data Cloud’s function, key terminology, business value, typical use cases, the Data Cloud lifecycle, dependencies, and principles of data ethics. These sub-topics provide an overview of Data Cloud’s capabilities and applications.
Topic 5	Data Ingestion and Modeling: This topic covers the different transformation capabilities within Data Cloud. It includes describing processes and considerations for data ingestion from various sources, defining, mapping, and modeling data using best practices aligned with identity resolution. Lastly, it discusses using available tools to inspect and validate ingested and modeled data.

NO.42 The marketing manager at Cloud Kicks plans to bring in corporate phone numbers for its accounts into Data Cloud. They plan to use a custom field with data set to Phone to store these phone numbers.
Which statement is true when ingesting phone numbers?

Text value can be accepted for ingestion into = phone data type field.

Data Cloud validates the format of the phone number at the time of Ingestion.

The phone number field car only accept 10-digit values.

The phone number field should be used as a primary key.

NO.43 Northern Trail Outfitters (NTO) asks its Data Cloud consultant for a list of contacts who fit within a certain segment for a mailing campaign.
How should the consultant provide this list to NTO?

Create the segment and then click Download to obtain the segment membership details to provide to NTO.

Create a new file storage activation target, create the segment, and then activate the segment to the new activation target.

Create the segment, select Email as the activation target, and activate the segment di nearly to NTO.

Create the segment and then activate the segment to NTO’s Salesforce CRM.

NO.44 Which functionality does Data Cloud offer to improve customer support interactions when a customer is working with an agent?

Predictive troubleshooting

Enhanced reporting tools

Real-time data integration

Automated customer service replies

NO.45 A Data Cloud consultant is evaluating the initial phase of the Data Cloud lifecycle for a company.
Which action is essential to effectively begin the Data Cloud lifecycle?

Identify use cases and the required data sources and data quality.

Analyze and partition the data into data spaces.

Migrate the existing data into the Customer 360 Data Model.

Use calculated insights determine the benefits of Data Cloud for this company.

NO.46 Luxury Retailers created a segment targeting high value customers that it activates through Marketing Cloud for email communication. The company notices that the activated count is smaller than the segment count.
What is a reason for this?

Marketing Cloud activations apply a frequency cap and limit the number of records that can be sent in an activation.

Data Cloud enforces the presence of Contact Point for Marketing Cloud activations. If the individual does not have a related Contact Point, it will not be activated.

Marketing Cloud activations automatically suppress individuals who are unengaged and have not opened or clicked on an email in the last six months.

Marketing Cloud activations only activate those individuals that already exist in Marketing Cloud.They do not allow activation of new records.

NO.47 Which solution provides an easy way to ingest Marketing Cloud subscriber profile attributes into Data Cloud on a daily basis?

Automation Studio and Profile file API

Marketing Cloud Connect API

Marketing Cloud Data extension Data Stream

Email Studio Starter Data Bundle

NO.48 Cloud Kicks wants to be able to build a segment of customers who have visited its website within the previous
7 days.
Which filter operator on the Engagement Date field fits this use case?

Is Between

Greater than Last Number of

Next Number of Days

Last Number of Days

NO.49 Northern Trail Outfitters uses B2C Commerce and is exploring implementing Data Cloud to get a unified view of its customers and all their order transactions.
What should the consultant keep in mind with regard to historical data ingesting order data using the B2C Commerce Order Bundle?

The B2C Commerce Order Bundle ingests 12 months of historical data.

The B2C Commerce Order Bundle ingests 6 months of historical data.

The B2C Commerce Order Bundle does not ingest any historical data and only ingests new orders from that point on.

The B2C Commerce Order Bundle ingests 30 days of historical data.

NO.50 A consultant is connecting sales order data to Data Cloud and considers whether to use the Profile, Engagement, or Other categories to map the DLO. The consultant chooses to map the DLO called Order-Headers to the Sales Order DMO using the Engagement category.
What is the impact of this action on future mappings?

A DLO with category Engagement can be mapped to any DMO using either Profile. Engagement, or Other categories.

When mapping a Profile DLO to the Sales Order DMO, the category gets updated to Profile.

Sales Order DMO gets assigned to both the Profile and Engagement categories when mapping a Profile DLO.

Only Engagement category DLOs can be mapped to the Sales Order DMO. Sales Order gets assigned to the Engagement Category.

NO.51 How can a consultant modify attribute names to match a naming convention in Cloud File Storage targets?

Use a formula field to update the field name in an activation.

Update attribute names in the data stream configuration.

Set preferred attribute names when configuring activation.

Update field names in the data model object.

NO.52 A consultant wants to make sure address details from customer orders are selected as best to save to the unified profile.
What should the consultant do to achieve this?

Select the address details on the Contact Point Address. Change the reconciliation rules for the specific address attributes to Source Priority and move the Individual DMO to the bottom.

Use the default reconciliation rules for Contact Point Address.

Select the address details on the Contact Point Address. Change the reconciliation rules for the specific address attributes to Source Priority and move the Oder DMO to the top.

Change the default reconciliation rules for Individual to Source Priority.

NO.53 Which data stream category type should be assigned in order to use the dataset for date and time-based operations in segmentation and calculated insights?

Individual

Engagement

Sales Order

Profile

NO.54 Cumulus Financial uses Service Cloud as its CRM and stores mobile phone, home phone, and work phone as three separate fields for its customers on the Contact record. The company plans to use Data Cloud and ingest the Contact object via the CRM Connector.
What is the most efficient approach that a consultant should take when ingesting this data to ensure all the different phone numbers are properly mapped and available for use in activation?

Ingest the Contact object and map the Work Phone, Mobile Phone, and Home Phone to the Contact Point Phone data map object from the Contact data stream.

Ingest the Contact object and use streaming transforms to normalize the phone numbers from the Contact data stream into a separate Phone data lake object (DLO) that contains three rows, and then map this new DLO to the Contact Point Phone data map object.

Ingest the Contact object and then create a calculated insight to normalize the phone numbers, and then map to the Contact Point Phone data map object.

Ingest the Contact object and create formula fields in the Contact data stream on the phone numbers, and then map to the Contact Point Phone data map object.

The most efficient approach that a consultant should take when ingesting this data to ensure all the different phone numbers are properly mapped and available for use in activation is B. Ingest the Contact object and use streaming transforms to normalize the phone numbers from the Contact data stream into a separate Phone data lake object (DLO) that contains three rows, and then map this new DLO to the Contact Point Phone data map object. This approach allows the consultant to use the streaming transforms feature of Data Cloud, which enables data manipulation and transformation at the time of ingestion, without requiring any additional processing or storage. Streaming transforms can be used to normalize the phone numbers from the Contact data stream, such as removing spaces, dashes, or parentheses, and adding country codes if needed. The normalized phone numbers can then be stored in a separate Phone DLO, which can have one row for each phone number type (work, home, mobile). The Phone DLO can then be mapped to the Contact Point Phone data map object, which is a standard object that represents a phone number associated with a contact point. This way, the consultant can ensure that all the phone numbers are available for activation, such as sending SMS messages or making calls to the customers.
The other options are not as efficient as option B. Option A is incorrect because it does not normalize the phone numbers, which may cause issues with activation or identity resolution. Option C is incorrect because it requires creating a calculated insight, which is an additional step that consumes more resources and time than streaming transforms. Option D is incorrect because it requires creating formula fields in the Contact data stream, which may not be supported by the CRM Connector or may cause conflicts with the existing fields in the Contact object. Reference: Salesforce Data Cloud Consultant Exam Guide, Data Ingestion and Modeling, Streaming Transforms, Contact Point Phone

NO.55 Northern Trail Outfitters (NTO), an outdoor lifestyle clothing brand, recently started a new line of business. The new business specializes in gourmet camping food. For business reasons as well as security reasons, it’s important to NTO to keep all Data Cloud data separated by brand.
Which capability best supports NTO’s desire to separate its data by brand?

Data streams for each brand

Data model objects for each brand

Data spaces for each brand

Data sources for each brand

NO.56 Luxury Retailers created a segment targeting high value customers that it activates through Marketing Cloud for email communication. The company notices that the activated count is smaller than the segment count.
What is a reason for this?

Data Cloud enforces the presence of Contact Point for Marketing Cloud activations. If the individual does not have a related Contact Point, it will not be activated.

Marketing Cloud activations automatically suppress individuals who are unengaged and have not opened or clicked on an email in the last six months.

Marketing Cloud activations only activate those individuals that already exist in Marketing Cloud. They do not allow activation of new records.

Marketing Cloud activations apply a frequency cap and limit the number of records that can be sent in an activation.

NO.57 A customer has a Master Customer table from their CRM to ingest into Data Cloud. The table contains a name and primary email address, along with other personally Identifiable information (Pll).
How should the fields be mapped to support identity resolution?

Create a new custom object with fields that directly match the incoming table.

Map all fields to the Customer object.

Map name to the Individual object and email address to the Contact Phone Email object.

Map all fields to the Individual object, adding a custom field for the email address.

NO.58 Northern Trail Outfitters (NTO), an outdoor lifestyle clothing brand, recently started a new line of business. The new business specializes in gourmet camping food. For business reasons as well as security reasons, it’s important to NTO to keep all Data Cloud data separated by brand.
Which capability best supports NTO’s desire to separate its data by brand?

Data streams for each brand

Data model objects for each brand

Data spaces for each brand

Data sources for each brand

NO.59 Luxury Retailers created a segment targeting high value customers that it activates through Marketing Cloud for email communication. The company notices that the activated count is smaller than the segment count.
What is a reason for this?

Marketing Cloud activations apply a frequency cap and limit the number of records that can be sent in an activation.

Data Cloud enforces the presence of Contact Point for Marketing Cloud activations. If the individual does not have a related Contact Point, it will not be activated.

Marketing Cloud activations automatically suppress individuals who are unengaged and have not opened or clicked on an email in the last six months.

Marketing Cloud activations only activate those individuals that already exist in Marketing Cloud. They do not allow activation of new records.

NO.60 Every day, Northern Trail Outfitters uploads a summary of the last 24 hours of store transactions to a new file in an Amazon S3 bucket, and files older than seven days are automatically deleted. Each file contains a timestamp in a standardized naming convention.
Which two options should a consultant configure when ingesting this data stream?
Choose 2 answers

Ensure that deletion of old files is enabled.

Ensure the refresh mode is set to “Upsert”.

Ensure the filename contains a wildcard to a accommodate the timestamp.

Ensure the refresh mode is set to “Full Refresh.”

NO.61 A customer has outlined requirements to trigger a journey for an abandoned browse behavior. Based on the requirements, the consultant determines they will use streaming insights to trigger a data action to Journey Builder every hour.
How should the consultant configure the solution to ensure the data action is triggered at the cadence required?

Set the activation schedule to hourly.

Configure the data to be ingested in hourly batches.

Set the journey entry schedule to run every hour.

Set the insights aggregation time window to 1 hour.

NO.62 Where is value suggestion for attributes in segmentation enabled when creating the DMO?

Data Mapping

Data Transformation

Segment Setup

Data Stream Setup

NO.63 A segment fails to refresh with the error “Segment references too many data lake objects (DLOS)”.
Which two troubleshooting tips should help remedy this issue?
Choose 2 answers

Split the segment into smaller segments.

Use calculated insights in order to reduce the complexity of the segmentation query.

Refine segmentation criteria to limit up to five custom data model objects (DMOs).

Space out the segment schedules to reduce DLO load.

NO.64 A consultant is working in a customer’s Data Cloud org and is asked to delete the existing identity resolution ruleset.
Which two impacts should the consultant communicate as a result of this action?
Choose 2 answers

All individual data will be removed.

Unified customer data associated with this ruleset will be removed.

Dependencies on data model objects will be removed.

All source profile data will be removed