Data-Cloud-Consultant덤프Salesforce인증시험

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ExamPassdump에는 IT인증시험의 최신Salesforce Data-Cloud-Consultant학습가이드가 있습니다. ExamPassdump 는 여러분들이Salesforce Data-Cloud-Consultant시험에서 패스하도록 도와드립니다. Salesforce Data-Cloud-Consultant시험준비시간이 충분하지 않은 분은 덤프로 철저한 시험대비해보세요. 문제도 많지 않고 깔끔하게 문제와 답만으로 되어있어 가장 빠른 시간내에Salesforce Data-Cloud-Consultant시험합격할수 있습니다.

Salesforce Data-Cloud-Consultant Exam Overview:

Certification Vendor:Salesforce
Exam Name:Salesforce Certified Data 360 Consultant (formerly Salesforce Certified Data Cloud Consultant)
Exam Number:Data-Con-101 / Data-Cloud-Consultant
Exam Price:USD $200 + applicable taxes
Exam Duration:105 minutes
Real Exam Qty:60 (plus up to 5 unscored questions)
Available Languages:English
Related Certifications:Salesforce Certified Data Architect
Salesforce Certified Marketing Cloud Consultant
Salesforce Certified Administrator
Certificate Validity Period:3 years
Passing Score:62% - 70%
Exam Format:Multiple-select, Multiple-choice, Scenario-based questions
Recommended Training:Salesforce Trailhead - Data 360 / Data Cloud Learning Path
Exam Registration:Salesforce Webassessor Registration
Sample Questions:Salesforce Data-Cloud-Consultant Sample Questions
Exam Way:Online proctored or onsite at authorized testing centers
Pre Condition:No mandatory prerequisites; recommended: 1–2 years experience in data management, Salesforce implementation, or CDP solutions
Official Syllabus URL:https://help.salesforce.com/s/articleView?id=005298940&language=en_US

>> Data-Cloud-Consultant높은 통과율 인기덤프 <<

최신버전 Data-Cloud-Consultant높은 통과율 인기덤프 덤프는 Salesforce Certified Data 360 Consultant (Data-Con-101) 시험을 단번에 패스하는 필수자료

Salesforce Data-Cloud-Consultant인증시험은 전업적지식이 강한 인증입니다. IT업계에서 일자리를 찾고 계시다면 많은 회사에서는Salesforce Data-Cloud-Consultant있는지 없는지에 알고 싶어합니다. 만약Salesforce Data-Cloud-Consultant자격증이 있으시다면 여러분은 당연히 경쟁력향상입니다.

Salesforce Data-Cloud-Consultant 시험요강:

주제소개
주제 1
  • 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.
주제 2
  • 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.
주제 3
  • 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.
주제 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.
주제 5
  • 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.

최신 Salesforce Data Cloud Data-Cloud-Consultant 무료샘플문제 (Q75-Q80):

질문 # 75
A consultant is discussing the benefits of Data Cloud with a customer that has multiple disjointed data sources.
Which two functional areas should the consultant highlight in relation to managing customer data?
Choose 2 answers

정답:C,D

설명:
Data Cloud is an open and extensible data platform that enables smarter, more efficient AI with secure access to first-party and industry data1. Two functional areas that the consultant should highlight in relation to managing customer data are:
* Data Harmonization: Data Cloud harmonizes data from multiple sources and formats into a common schema, enabling a single source of truth for customer data1. Data Cloud also applies data quality rules and transformations to ensure data accuracy and consistency.
* Unified Profiles: Data Cloud creates unified profiles of customers and prospects by linking data across different identifiers, such as email, phone, cookie, and device ID1. Unified profiles provide a holistic view of customer behavior, preferences, and interactions across channels and touchpoints. The other options are not correct because:
* Master Data Management: Master Data Management (MDM) is a process of creating and maintaining a single, consistent, and trusted source of master data, such as product, customer, supplier, or location data. Data Cloud does not provide MDM functionality, but it can integrate with MDM solutions to enrich customer data.
* Data Marketplace: Data Marketplace is a feature of Data Cloud that allows users to discover, access, and activate data from third-party providers, such as demographic, behavioral, and intent data. Data Marketplace is not a functional area related to managing customer data, but rather a source of external data that can enhance customer data. References:
* Salesforce Data Cloud
* [Data Harmonization for Data Cloud]
* [Unified Profiles for Data Cloud]
* [What is Master Data Management?]
* [Integrate Data Cloud with Master Data Management]
* [Data Marketplace for Data Cloud]


질문 # 76
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?

정답:B

설명:
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. References: Salesforce Data Cloud Consultant Exam Guide, Data Ingestion and Modeling, Streaming Transforms, Contact Point Phone


질문 # 77
A customer is trying to activate data from Data Cloud to an Amazon S3 Cloud File Storage Bucket.
Which authentication type should the consultant recommend to connect to the S3 bucket from Data Cloud?

정답:A

설명:
Explanation
To use the Amazon S3 Storage Connector in Data Cloud, the consultant needs to provide the S3 bucket name, region, and access key and secret key for authentication. The access key and secret key are generated by AWS and can be managed in the IAM console. The other options are not supported by the S3 Storage Connector or by Data Cloud. References: Amazon S3 Storage Connector - Salesforce, How to Use the Amazon S3 Storage Connector in Data Cloud | Salesforce Developers Blog Learn more 1blob:https://www.bing.com/fed40cd6-30db-497b-a587-44e59b9e1f0bhelp.salesforce.com2blob:https://www.bin


질문 # 78
A consultant needs to package Data Cloud components from one
organization to another.
Which two Data Cloud components should the consultant include in a
data kit to achieve this goal?
Choose 2 answers

정답:B,C

설명:
To package Data Cloud components from one organization to another, the consultant should include the following components in a data kit:
* Data model objects: These are the custom objects that define the data model for Data Cloud, such as Individual, Segment, Activity, etc. They store the data ingested from various sources and enable the creation of unified profiles and segments1.
* Identity resolution rulesets: These are the rules that determine how data from different sources are matched and merged to create unified profiles. They specify the criteria, logic, and priority for identity resolution2. References:
* 1: Data Model Objects in Data Cloud
* 2: Identity Resolution Rulesets in Data Cloud


질문 # 79
Cumulus Financial created a segment called Multiple Investments that contains individuals who have invested in two or more mutual funds.
The company plans to send an email to this segment regarding a new mutual fund offering, and wants to personalize the email content with information about each customer's current mutual fund investments.
How should the Data Cloud consultant configure this activation?

정답:D

설명:
To personalize the email content with information about each customer's current mutual fund investments, the Data Cloud consultant needs to add related attributes to the activation. Related attributes are additional data fields that can be sent along with the segment to the target system for personalization or analysis purposes. In this case, the consultant needs to add the Fund Name attribute, which contains the name of the mutual fund that the customer has invested in, and apply a filter for Fund Type equal to "Mutual Fund" to ensure that only relevant data is sent. The other options are not correct because:
A). Including Fund Type equal to "Mutual Fund" as a related attribute is not enough to personalize the email content. The consultant also needs to include the Fund Name attribute, which contains the specific name of the mutual fund that the customer has invested in.
C). Adding related attribute Fund Type is not enough to personalize the email content. The consultant also needs to add the Fund Name attribute, which contains the specific name of the mutual fund that the customer has invested in, and apply a filter for Fund Type equal to "Mutual Fund" to ensure that only relevant data is sent.
D). Including Fund Name and Fund Type by default for post processing in the target system is not a valid option. The consultant needs to add the related attributes and filters during the activation configuration in Data Cloud, not after the data is sent to the target system. References: Add Related Attributes to an Activation
- Salesforce, Related Attributes in Activation - Salesforce, Prepare for Your Salesforce Data Cloud Consultant Credential


질문 # 80
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