100% PASS RATE Salesforce Data Cloud Data-Con-101 Certified Exam DUMP with 170 Questions [Q76-Q91]

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100% PASS RATE Salesforce Data Cloud Data-Con-101 Certified Exam DUMP with 170 Questions

Updates For the Latest Data-Con-101 Free Exam Study Guide!

Salesforce Data-Con-101 Exam Syllabus Topics:

Section	Objectives
Topic 1: Insights and Analytics	– Calculated insights and metrics – Reporting and data analysis use cases
Topic 2: Segmentation and Activation	– Segment creation and audience building – Data activation to Salesforce and external systems
Topic 3: Data Ingestion and Modeling	– Data model objects and schema design – Data ingestion methods and connectors
Topic 4: Data Cloud Fundamentals	– Salesforce Data Cloud architecture overview – Core concepts of unified customer data
Topic 5: Security and Data Governance	– Data access control and permissions – Compliance and data privacy considerations
Topic 6: Identity Resolution	– Identity stitching and matching rules – Profile unification and resolution strategies

NEW QUESTION 76
What should a user do to pause a segment activation with the intent of using that segment again?

Deactivate the segment.

Delete the segment.

Skip the activation.

Stop the publish schedule.

NEW QUESTION 77
Which information is provided in a .csv file when activating to Amazon S3?

An audit log showing the user who activated the segment and when it was activated

The activated data payload

The metadata regarding the segment definition

The manifest of origin sources within Data Cloud

NEW QUESTION 78
The Salesforce CRM Connector is configured and the Case object data stream is set up. Subsequently, a new custom field named Business Priority is created on the Case object in Salesforce CRM. However, the new field is not available when trying to add it to the data stream.
Which statement addresses the cause of this issue?

The Salesforce Integration User Is missing Rad permissions on the newly created field.

The Salesforce Data Loader application should be used to perform a bulk upload from a desktop.

Custom fields on the Case object are not supported for ingesting into Data Cloud.

After 24 hours when the data stream refreshes it will automatically include any new fields that were added to the Salesforce CRM.

NEW QUESTION 79
The recruiting team at Cumulus Financial wants to identify which candidates have browsed the jobs page on its website at least twice within the last 24 hours. They want the information about these candidates to be available for segmentation in Data Cloud and the candidates added to their recruiting system.
Which feature should a consultant recommend to achieve this goal?

Streaming data transform

Streaming insight

Calculated insight

Batch bata transform

NEW QUESTION 80
Cumulus Financial is currently using Data Cloud and ingesting transactional data from its backend system via an S3 Connector in upsert mode. During the initial setup six months ago, the company created a formula field in Data Cloud to create a custom classification. It now needs to update this formula to account for more classifications.
What should the consultant keep in mind with regard to formula field updates when using the S3 Connector?

Data Cloud will initiate a full refresh of data from $3 and will update the formula on all records.

Data Cloud will only update the formula on a go-forward basis for new records.

Data Cloud does not support formula field updates for data streams of type upsert.

Data Cloud will update the formula for all records at the next incremental upsert refresh.

NEW QUESTION 81
A company is seeking advice from a consultant on how to address the challenge of having multiple leads and contacts in Salesforce that share the same email address. The consultant wants to provide a detailed and comprehensive explanation on how Data Cloud can be leveraged to effectively solve this issue.
What should the consultant highlight to address this company’s business challenge?

Data Bundles

Calculated Insights

Identity Resolution

NEW QUESTION 82
A Data Cloud consultant tries to save a new 1-to-l relationship between the Account DMO and Contact Point Address DMO but gets an error.
What should the consultant do to fix this error?

Map additional fields to the Contact Point Address DMO.

Make sure that the total account records are high enough for Identity resolution.

Change the cardinality to many-to-one to accommodate multiple contacts per account.

Map Account to Contact Point Email and Contact Point Phone also.

NEW QUESTION 83
What is Data Cloud’s primary value to customers?

To provide a unified view of a customer and their related data

To connect all systems with a golden record

To create a single source of truth for all anonymous data

To create personalized campaigns by listening, understanding, and acting on customer behavior

NEW QUESTION 84
A consultant is integrating an Amazon 53 activated campaign with the customer’s destination system.
In order for the destination system to find the metadata about the segment, which file on the 53 will contain this information for processing?

The .txt file

The json file

The .csv file

The .zip file

NEW QUESTION 85
A company stores customer data in Marketing Cloud and uses the Marketing Cloud Connector to ingest data into Data Cloud.
Where does a request for data deletion or right to be forgotten get submitted?

In Data Cloud settings

On the individual data profile in Data Cloud

In Marketing Cloud settings

through Consent API

NEW QUESTION 86
How does Data Cloud handle an individual’s Right to be Forgotten?

Deletes the records from all data source objects, and any downstream data model objects are updated at the next scheduled ingestion

Deletes the specified Individual record and its Unified Individual Link record.

Deletes the specified Individual and records from any data source object mapped to the Individual data model object.

Deletes the specified Individual and records from any data model object/data lake object related to the Individual.

NEW QUESTION 87
A customer has a calculated insight about lifetime value.
What does the consultant need to be aware of if the calculated insight.
needs to be modified?

New dimensions can be added.

Existing dimensions can be removed.

Existing measures can be removed.

New measures can be added.

A calculated insight is a multidimensional metric that is defined and calculated from data using SQL expressions. A calculated insight can include dimensions and measures. Dimensions are the fields that are used to group or filter the data, such as customer ID, product category, or region. Measures are the fields that are used to perform calculations or aggregations, such as revenue, quantity, or average order value. A calculated insight can be modified by editing the SQL expression or changing the data space. However, the consultant needs to be aware of the following limitations and considerations when modifying a calculated insight12:
Existing dimensions cannot be removed. If a dimension is removed from the SQL expression, the calculated insight will fail to run and display an error message. This is because the dimension is used to create the primary key for the calculated insight object, and removing it will cause a conflict with the existing data.
Therefore, the correct answer is B.
New dimensions can be added. If a dimension is added to the SQL expression, the calculated insight will run and create a new field for the dimension in the calculated insight object. However, the consultant should be careful not to add too many dimensions, as this can affect the performance and usability of the calculated insight.
Existing measures can be removed. If a measure is removed from the SQL expression, the calculated insight will run and delete the field for the measure from the calculated insight object. However, the consultant should be aware that removing a measure can affect the existing segments or activations that use the calculated insight.
New measures can be added. If a measure is added to the SQL expression, the calculated insight will run and create a new field for the measure in the calculated insight object. However, the consultant should be careful not to add too many measures, as this can affect the performance and usability of the calculated insight. References: Calculated Insights, Calculated Insights in a Data Space.

NEW QUESTION 88
A customer notices that their consolidation rate has recently increased. They contact the consultant to ask why.
What are two likely explanations for the increase?
Choose 2 answers

New data sources have been added to Data Cloud that largely overlap with the existing profiles.

Duplicates have been removed from source system data streams.

Identity resolution rules have been removed to reduce the number of matched profiles.

Identity resolution rules have been added to the ruleset to increase the number of matchedprofiles.

NEW QUESTION 89
A customer wants to create segments of users based on their Customer Lifetime Value.
However, the source data that will be brought into Data Cloud does not include that key performance indicator (KPI).
Which sequence of steps should the consultant follow to achieve this requirement?

Ingest Data > Map Data to Data Model > Create Calculated Insight > Use in Segmentation

Create Calculated Insight > Map Data to Data Model> Ingest Data > Use in Segmentation

Create Calculated Insight > Ingest Data > Map Data to Data Model> Use in Segmentation

Ingest Data > Create Calculated Insight > Map Data to Data Model > Use in Segmentation

NEW QUESTION 90
How does Data Cloud ensure high availability and fault tolerance for customer data?

By distributing data across multiple regions and data centers

By using a data center with robust backups

By Implementing automatic data recovery procedures

By limiting data access to essential personnel

NEW QUESTION 91
Cumulus Financial uses calculated insights to compute the total banking value per branch for its high net worth customers. In the calculated insight, “banking value” is a metric, “branch” is a dimension, and “high net worth” is a filter.
What can be included as an attribute in activation?

“high net worth” (filter)

“branch” (dimension) and “banking metric)

“banking value” (metric)

“branch” (dimension)