View Data-Cloud-Consultant Exam Questions

Q: 11

What does the Ignore Empty Value option do in identity resolution?

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Q: 12

How can a consultant modify attribute names to match a naming convention in Cloud File Storage targets?

Options

Discussion

Layla C. Feb 6, 2026 2:32 pm

C . Setting preferred attribute names during activation is how you control output file field names for Cloud File Storage. Official docs and practice exam questions point to this, not data stream config or the data model itself.

Ben Feb 26, 2026 6:14 am

C , only option where you can set custom output names for Cloud File Storage. It doesn't impact the data model itself.

Layla W. Feb 23, 2026 5:33 pm

Ugh, Salesforce makes these naming config questions confusing every single time. Probably C since when you set up an activation for Cloud File Storage, that's where you can define those preferred attribute names to match whatever the downstream system expects. Data stream or model changes would be overkill just for renaming in export files. Pretty sure about this but open to corrections if anyone has used a different method.

Cameron H. Feb 21, 2026 12:10 am

Noah W. Feb 27, 2026 3:32 am

C, that's the only one that let's you set naming for Cloud File Storage outputs without touching the original data model.

Leo N. Feb 24, 2026 4:21 am

C B seems tempting but only C lets you set naming for file targets without touching the model.

Piya K. Feb 22, 2026 12:43 pm

C Saw similar Qs on exam reports, preferred attribute names are set during activation for file output naming.

Aisha I. Feb 9, 2026 8:51 pm

Its C. Setting the preferred attribute name during activation is specific for output files, matches naming convention requirements. B is a trap here since data stream config won’t update field names just for the target file. Pretty sure about C.

Meera Q. Feb 24, 2026 4:47 pm

Maybe B. I thought changing names in the data stream config would handle how attributes show up downstream. Not 100% sure since I haven't used activation naming much but seems logical. Anyone else think B?

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Q: 13

Which permission setting should a consultant check if the custom Salesforce CRM object is not available in New Data Stream configuration?

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Discussion

Parker C. Feb 6, 2026 10:56 pm

Its B, the object needs 'View All' in the CRM org to show up in Data Stream config.

Luna J. Feb 20, 2026 4:47 am

Why is D getting votes? View All (B) is what actually exposes the object for stream setup, not Modify.

Sanjay H. Feb 16, 2026 8:01 pm

B . You need View All permission in the Salesforce CRM org or Data Cloud just won’t show the object when configuring a new stream. I think C is tempting but Ingest isn’t a native Salesforce permission. Someone correct me if I missed an edge case here.

Piya A. Feb 15, 2026 11:46 pm

B is what I'd check here. 'View All' lets the integration user actually see the custom object in setup, which is how it gets picked up in the new Data Stream config. D is more about editing rights, so less likely unless they specify write access. Agree?

Aaron Q. Feb 25, 2026 10:59 am

It’s B, View All is the key for making that object show up in stream config. Modify Object (D) is tempting but doesn’t solve the visibility part, pretty sure A and C are just noise.

Layla K. Feb 21, 2026 11:25 am

Maybe D, since Modify Object sounds like it could impact visibility too. Not totally sure though.

Ajay W. Feb 22, 2026 9:35 am

B makes sense here since without 'View All' in the source CRM org, Data Cloud can't display the custom object when you're adding a new data stream. I've tripped over this before, so I think it's correct but happy to hear other takes.

Adam U. Feb 17, 2026 12:23 pm

Option D since Modify Object feels like it would solve the visibility issue too. Could be a trap though, anyone else see problems with D being enough?

Drew O. Feb 19, 2026 5:08 am

Its B. The integration needs 'View All' access in the source CRM org so Data Cloud can see the object during setup. Saw something similar in recent exam reports. Open to other thoughts but pretty sure that's right.

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Q: 14

A user wants to be able to create a multi-dimensional metric to identify unified individual lifetime value (LTV). Which sequence of data model object (DMO) joins is necessary within the calculated Insight to enable this calculation?

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Correct Answer:

Explanation

To calculate the lifetime value (LTV) for a unified profile, it is necessary to aggregate transactional data (from Sales Order) associated with all source profiles that constitute the unified one. The Unified Individual DMO represents the consolidated profile. The Unified Link Individual DMO is created by the Identity Resolution process to map the Unified Individual to its constituent source Individual records. Therefore, the correct logical path is to join Unified Individual with Unified Link Individual (on UnifiedIndividualId), and then join the result with Sales Order (on IndividualId) to access the transactional data for all linked source profiles. This sequence correctly bridges the unified profile with its underlying source transactions.

References

1. Salesforce Help

"Example: Create a Calculated Insight to Find Lifetime Value": This official documentation provides a direct example of calculating LTV. It states

"To create this calculated insight

join the Unified Individual

Unified Link Individual

and Sales Order DMOs... Join the Unified Individual DMO with the Unified Link Individual DMO on UnifiedIndividualId. Then join the result with the Sales Order DMO on IndividualId." This directly validates the sequence in option A.

2. Salesforce Help

"Identity Resolution": This document explains the outputs of the identity resolution process. It details the creation of the Unified Individual object and the corresponding Unified Link objects (e.g.

Unified Link Individual). It clarifies that the Unified Link object's purpose is to "link a unified object to the source objects that it's composed of

" which is essential for the join described in the question.

3. Salesforce Help

"Calculated Insights": This documentation describes the function of Calculated Insights

which is to "process and transform your data to create multidimensional metrics." It explains that joins across DMOs are a fundamental part of this process

and the relationships established by Identity Resolution are key to creating metrics on unified profiles. The path in option A is a standard pattern for this use case.

Q: 15

Which consideration related to the way Data Cloud ingests CRM data is true?

Options

Discussion

Logan G. Feb 23, 2026 4:14 am

Probably D because standard fields can be streamed in real time with the CRM Connector. B is about scheduled syncs but doesn’t apply for standard/non-formula fields. I think they ask this a lot to trip us up with formula vs standard behavior. Could see an argument for C if they focused on formulas, but here D is the most accurate.

Owen L. Feb 18, 2026 12:56 pm

C/D? I don’t see how B fits, that’s a common trap if you’re thinking only about scheduled syncs and not streaming. Pretty sure it’s D for the standard fields streaming piece but if formula fields were in focus, then C. Anyone disagree?

Luke X. Feb 13, 2026 3:08 pm

Yeah, for standard fields, it's all about streaming. D

Mia A. Feb 7, 2026 8:47 am

Formula fields tripped me up before, but for standard fields it's all about streaming. Had something like this in a mock-D fits because CDC lets the CRM Connector stream those changes almost instantly into Data Cloud. C is just formulas, not regular fields. Pretty sure D is the right call, but open to correction.

Grace Feb 16, 2026 4:48 am

Man, Salesforce loves throwing these near real-time vs regular sync questions. D tbh, streaming's the whole point of the CRM Connector here.

Quinn U. Feb 15, 2026 12:04 am

D is what shows up in most exam guides for streaming standard Salesforce fields. Formula fields would make C relevant, but here it's D.

Cameron H. Feb 9, 2026 10:17 pm

D imo. The CRM Connector can stream standard fields from Salesforce into Data Cloud almost instantly using CDC events, so data’s close to real-time. Saw this mentioned in some recent docs too. Anyone see a reason C would matter more?

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Q: 16

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?

Options

Correct Answer:

Explanation

The Salesforce CRM Connector in Data Cloud authenticates and accesses data using a designated integration user in the source Salesforce org. For the connector to see and ingest data from any field, this integration user must have explicit "Read" access granted via Field-Level Security (FLS). When a new custom field is created, permissions are not automatically granted to all user profiles or permission sets. Therefore, the most common reason a new field is unavailable in the data stream configuration is that the integration user's profile or assigned permission set has not been updated to include read access to that specific new field.

References

1. Salesforce Help Documentation - Salesforce CRM Connector: "Before you begin

ensure that the integration user has read-level access to all objects and fields that you want to ingest into Data Cloud." This statement confirms that field-level permissions are a mandatory prerequisite. (Source: Salesforce Help

Salesforce CRM Connector

Section: "Before You Begin").

2. Salesforce Help Documentation - Create a Salesforce CRM Data Stream: "If a new field was added in the source

refresh the data stream to see it." This indicates that schema updates are a manual action

refuting the idea of automatic inclusion. The ability to see the field after a refresh is still contingent on the underlying permissions. (Source: Salesforce Help

Create a Salesforce CRM Data Stream

Section: "Edit a Data Stream").

3. Salesforce Help Documentation - Control Access to Fields: "You can control which fields users can access in object detail and edit pages and in reports and list views. To set field-level security

edit your permission sets or profiles." This official documentation explains the FLS mechanism that governs the visibility of fields

which is the root cause of the issue described. (Source: Salesforce Help

Set Field-Level Security for a Field on a Permission Set).

Q: 17

During an implementation project, a consultant completed ingestion of all data streams for their customer. Prior to segmenting and acting on that data, which additional configuration is required?

Options

Q: 18

A consultant is ingesting a list of employees from their human resources database that they want to segment on. Which data stream category should the consultant choose when ingesting this data?

Options

Q: 19

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?

Options

Discussion

Ravi Q. Feb 22, 2026 10:38 pm

Isn't there some overlap between B and C here? Calculated insight works for segmentation too, just not in real-time. If the team doesn't need instant updates, why not C? Or does segmentation on Data Cloud always need streaming for time window logic like this?

Chloe J. Feb 13, 2026 3:34 pm

Liam K. Feb 14, 2026 9:45 am

C or B. I was thinking Calculated insight (C) since it's used for aggregating events and exposing them for segmentation, but maybe the real-time trigger needed here pushes it more toward B. My assumption was that C could be scheduled frequently enough, but perhaps that's a trap option. Open to being corrected.

Sara Feb 22, 2026 3:14 am

Maybe B. Encountered exactly similar question in my exam and Streaming Insight was the pick there for real-time event aggregation over a window. Pretty sure that's what fits best here but open to corrections if I'm missing something.

Liam N. Feb 22, 2026 8:30 pm

Its B, only streaming insight does rolling window event counts instantly for segmentation. D if they only needed daily updates.

Sanjay A. Feb 27, 2026 4:19 am

B instant segmentation needs streaming insight. Batch or calculated insight won’t give that real-time trigger.

Meera T. Feb 19, 2026 11:29 pm

C/D? Trick is if they're ok with batch not real-time, D flips correct. But for instant segments, B is the right fit.

Sofia K. Feb 17, 2026 9:48 pm

Streaming insight is the way to go here, so B. It tracks behavior in near real-time across a rolling window like 24 hours. Calculated insight (C) is more for batch/calculated stuff, not event triggers this tight. Pretty sure about B but open to pushback if I missed something.

Liam Feb 23, 2026 2:02 am

I’d actually say C here, since calculated insight also handles user actions over time and works for segmentation.

Casey W. Feb 6, 2026 11:25 pm

Its B, similar question shows up on official practice. Look for "streaming insight" in the Data Cloud docs.

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Correct Answer:

Explanation

The requirement is to identify a specific user behavior (browsing a page at least twice) within a rolling time window (last 24 hours) from a streaming data source (website activity). Streaming Insights are designed specifically for this purpose. They perform near real-time aggregations, such as counting events, on streaming data over a defined window. The resulting insight, like "Visited Jobs Page Twice in 24 Hours," becomes an attribute on the Unified Individual profile, making it immediately available for segmentation and activation, such as adding the candidate to a recruiting system.

References

1. Salesforce Help - Streaming Insights and Engagements: "Streaming insights and engagement events are based on event-stream data and are calculated in near real time over a rolling window. For example

you can create a streaming insight to track when a customer abandons their cart or browses the same product category three times in a week." This directly aligns with the scenario of tracking page browses within a specific time frame.

2. Salesforce Help - Calculated Insights: "Calculated Insights are processed on a schedule that you set... Use Calculated Insights to gain a deeper understanding of your customer profiles and enable segmentation." This highlights its scheduled

batch nature

contrasting with the near real-time requirement of the question.

3. Salesforce Help - Data Transforms: "Use a streaming data transform to stream data from a data source and write the results to a data lake object... A streaming data transform lets you transform your data as it streams into Data Cloud." This defines its purpose as data shaping during ingestion

not metric calculation for segmentation.

Q: 20

A consultant needs to minimize the difference between a Data Cloud segment population and Marketing Cloud data extension count to determine the true size of segments for campaign planning. What should the consultant recommend to filter the segments by to accomplish this?

Options

Discussion

AaronS Feb 9, 2026 4:12 am

I thought B made sense since geography can split up audiences in both systems, so filtering segments by regions should get the counts closer. Maybe I'm overthinking it, but I don't see why Business Units would matter as much. Open to pushback!

Daniel Z. Feb 24, 2026 10:01 am

Probably D here. Filtering by Business Units makes the segment population match what gets pushed to Marketing Cloud, so the counts stay accurate. That’s how you minimize gaps between Data Cloud and MC numbers afaik. Feel free to correct me if missing something.

Ryan P. Feb 25, 2026 7:45 pm

Its D, clean question and the BU filter makes the counts match up for planning.

Nina Feb 14, 2026 6:12 am

D makes sense, I remember official resources saying MC activations only include profiles linked to the selected business unit. To get the counts to match, always filter segments by BU first. Pretty sure that's what they want here, but let me know if anyone saw different advice in recent practices.

Leo Feb 13, 2026 1:49 am

It’s B for me. If segments are split by geographical divisions, I think the populations could differ between systems and mess up the count. Maybe I’m off but it seems like a common trap in MCQ wording. Agree?

MayaR Feb 15, 2026 6:19 am

Option D but I remember seeing a similar question on a practice exam where they wanted Business Unit as the filter. Not totally sure if anything changed since then though.

Morgan D. Feb 24, 2026 9:04 am

D that's what matches how Marketing Cloud activates segments after filtering by Business Unit.

Casey F. Feb 17, 2026 7:09 pm

I think it should actually be B here. Geographical divisions could affect segment sizes between systems if data is siloed by region. Pretty sure that's the main factor, but if I've got the logic wrong let me know.

Cameron Z. Feb 23, 2026 12:18 pm

Yep, D is the way to go. Filtering by Business Units matches what MC picks up after activation, so your segment size and data extension count line up. Seen similar logic in review questions. Unless I missed something obvious here?

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Question 11 of 20 · Page 2 / 2

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