GET SUCCESS IN SALESFORCE DATA-CLOUD-CONSULTANT EXAM WITH FLYING COLOURS

Get Success in Salesforce Data-Cloud-Consultant Exam with Flying Colours

Get Success in Salesforce Data-Cloud-Consultant Exam with Flying Colours

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Salesforce Data-Cloud-Consultant Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • Segmentation and Insights: This topic defines basic concepts of segmentation and use cases, identifies scenarios for analyzing segment membership, configuring, refining, and maintaining segments within Data Cloud, and differentiating between calculated and streaming insights.
Topic 3
  • 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 4
  • 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.

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Real Salesforce Data-Cloud-Consultant Exam Questions [2023]-Secret To Pass Exam In First Attempt

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Salesforce Certified Data Cloud Consultant Sample Questions (Q91-Q96):

NEW QUESTION # 91
A Data Cloud customer wants to adjust their identity resolution rules to increase their accuracy of matches. Rather than matching on email address, they want to review a rule that joins their CRM Contacts with their Marketing Contacts, where both use the CRM ID as their primary key.
Which two steps should the consultant take to address this new use case?
Choose 2 answers

  • A. Map the primary key from the two systems to party identification, using CRM ID as the identification name for individuals coming from the CRM, and Marketing ID as the identification name for individuals coming from the marketing platform.
  • B. Create a custom matching rule for an exact match on the Individual ID attribute.
  • C. Map the primary key from the two systems to Party Identification, using CRM ID as the identification name for both.
  • D. Create a matching rule based on party identification that matches on CRM ID as the party identification name.

Answer: C,D

Explanation:
To address this new use case, the consultant should map the primary key from the two systems to Party Identification, using CRM ID as the identification name for both, and create a matching rule based on party identification that matches on CRM ID as the party identification name. This way, the consultant can ensure that the CRM Contacts and Marketing Contacts are matched based on their CRM ID, which is a unique identifier for each individual. By using Party Identification, the consultant can also leverage the benefits of this attribute, such as being able to match across different entities and sources, and being able to handle multiple values for the same individual. The other options are incorrect because they either do not use the CRM ID as the primary key, or they do not use Party Identification as the attribute type. References: Configure Identity Resolution Rulesets, Identity Resolution Match Rules, Data Cloud Identity Resolution Ruleset, Data Cloud Identity Resolution Config Input


NEW QUESTION # 92
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?

  • A. The .csv file
  • B. The json file
  • C. The .txt file
  • D. The .zip file

Answer: B

Explanation:
The file on the Amazon S3 that will contain the metadata about the segment for processing is B. The json file. The json file is a metadata file that is generated along with the csv file when a segment is activated to Amazon S3. The json file contains information such as the segment name, the segment ID, the segment size, the segment attributes, the segment filters, and the segment schedule. The destination system can use this file to identify the segment and its properties, and to match the segment data with the corresponding fields in the destination system. Reference: Salesforce Data Cloud Consultant Exam Guide, Amazon S3 Activation


NEW QUESTION # 93
How does Data Cloud ensure data privacy and security?

  • A. By encrypting data at rest and in transit
  • B. BY limiting data access to authorized admins
  • C. By securely storing data in an offsite server
  • D. By enforcing and controlling consent references

Answer: A

Explanation:
Data Privacy and Security in Data Cloud:
* Ensuring data privacy and security is paramount in Salesforce Data Cloud.


NEW QUESTION # 94
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?

  • A. Data Cloud will update the formula for all records at the next incremental upsert refresh.
  • B. Data Cloud will initiate a full refresh of data from $3 and will update the formula on all records.
  • C. Data Cloud will only update the formula on a go-forward basis for new records.
  • D. Data Cloud does not support formula field updates for data streams of type upsert.

Answer: B


NEW QUESTION # 95
What does the Ignore Empty Value option do in identity resolution?

  • A. Ignores Individual object records with empty fields when running identity resolution rules
  • B. Ignores empty fields when running reconciliation rules
  • C. Ignores empty fields when running any custom match rules
  • D. Ignores empty fields when running the standard match rules

Answer: B

Explanation:
The Ignore Empty Value option in identity resolution allows customers to ignore empty fields when running reconciliation rules. Reconciliation rules are used to determine the final value of an attribute for a unified individual profile, based on the values from different sources. The Ignore Empty Value option can be set to true or false for each attribute in a reconciliation rule. If set to true, the reconciliation rule will skip any source that has an empty value for that attribute and move on to the next source in the priority order. If set to false, the reconciliation rule will consider any source that has an empty value for that attribute as a valid source and use it to populate the attribute value for the unified individual profile.
The other options are not correct descriptions of what the Ignore Empty Value option does in identity resolution. The Ignore Empty Value option does not affect the custom match rules or the standard match rules, which are used to identify and link individuals across different sources based on their attributes. The Ignore Empty Value option also does not ignore individual object records with empty fields when running identity resolution rules, as identity resolution rules operate on the attribute level, not the record level.
References:
* Data Cloud Identity Resolution Reconciliation Rule Input
* Configure Identity Resolution Rulesets
* Data and Identity in Data Cloud


NEW QUESTION # 96
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