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Salesforce Data-Cloud-Consultant Exam Overview:
| Certification Vendor: | Salesforce |
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| Exam Name: | Salesforce Certified Data 360 Consultant |
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| Exam Number: | Data-Con-101 |
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| Exam Duration: | 90 minutes |
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| Exam Price: | $200 USD |
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| Available Languages: | English |
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| Real Exam Qty: | 60 |
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| Certificate Validity Period: | 3 years |
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| Passing Score: | 63% |
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| Related Certifications: | Salesforce Certified Data Architect Salesforce Certified Administrator |
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| Exam Format: | Multiple Select, Multiple Choice |
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| Sample Questions: | Salesforce Data-Cloud-Consultant Sample Questions |
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| Exam Way: | Online proctored exam |
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| Pre Condition: | Recommended: Salesforce Administrator certification and hands-on experience with Data Cloud implementation |
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| Official Syllabus URL: | https://trailhead.salesforce.com/credentials/data360consultant |
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>> Latest Data-Cloud-Consultant Test Labs <<
Quiz Data-Cloud-Consultant - Salesforce Certified Data 360 Consultant (Data-Con-101) –Professional Latest Test Labs
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| Topic | Details |
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| Topic 1 | - 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.
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| Topic 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.
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| Topic 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.
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| Topic 4 | - 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.
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Salesforce Certified Data 360 Consultant (Data-Con-101) Sample Questions (Q58-Q63):
NEW QUESTION # 58
Cloud Kicks plans to do a full deletion of one of its existing data streams and its underlying data lake object (DLO).
What should the consultant consider before deleting the data stream?
- A. The data stream must be associated with a data kit.
- B. The underlying DLO can be used in a data transform.
- C. The underlying DLO cannot be mapped to a data model object.
- D. The data stream can be deleted without implicitly deleting the underlying DLO.
Answer: B
Explanation:
* Data Streams and DLOs: In Salesforce Data Cloud, data streams are used to ingest data, which is then stored in Data Lake Objects (DLOs).
* Deletion Considerations: Before deleting a data stream, it's crucial to consider the dependencies and usage of the underlying DLO.
* Data Transform Usage:
Impact of Deletion: If the underlying DLO is used in a data transform, deleting the data stream will affect any transforms relying on that DLO.
Dependency Check: Ensure that the DLO is not part of any active data transformations or processes that could be disrupted by its deletion.
* Reference:
Salesforce Data Cloud Documentation: Data Streams
Salesforce Data Cloud Documentation: Data Transforms
NEW QUESTION # 59
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?
- A. Analyze and partition the data into data spaces.
- B. Migrate the existing data into the Customer 360 Data Model.
- C. Use calculated insights determine the benefits of Data Cloud for this company.
- D. Identify use cases and the required data sources and data quality.
Answer: D
Explanation:
* Data Cloud Lifecycle: The initial phase of the Salesforce Data Cloud lifecycle is critical for setting the foundation for successful data integration and utilization.
* Identifying Use Cases:
Importance: Defining clear use cases helps in understanding the business objectives and how Data Cloud can address them.
Required Data Sources: Identifying the necessary data sources ensures that relevant data is ingested into Data Cloud.
Data Quality: Assessing data quality is essential for accurate and reliable data analysis and insights.
* Actions:
Step 1: Engage with stakeholders to define specific use cases for Data Cloud.
Step 2: Identify and catalog the required data sources for these use cases.
Step 3: Evaluate the quality of data from these sources to ensure they meet the standards for effective data analysis.
* Reference:
Salesforce Data Cloud Implementation Guide
Salesforce Data Cloud Lifecycle
NEW QUESTION # 60
A finance company that uses Data Cloud wants to simplify how its users can view all the various channels a customer engages with Which feature should the consultant recommend to meet this requirement?
- A. Use calculated insights to determine when and how to engage with various customers.
- B. Use Data Cloud to connect with analytic tools, like Tableau.
- C. Create segments based on the ingested data and insights to activate in Marketing Cloud.
- D. Use Data Cloud to ingest data from various available data sources.
Answer: D
NEW QUESTION # 61
Which operator should a consultant use to create a segment for a birthday campaign that is evaluated daily?
- A. Is Today
- B. Is Between
- C. Is Anniversary Of
- D. Is Birthday
Answer: C
Explanation:
Explanation
To create a segment for a birthday campaign that is evaluated daily, the consultant should use the Is Anniversary Of operator. This operator compares a date field with the current date and returns true if the month and day are the same, regardless of the year. For example, if the date field is 1990-01-01 and the current date is 2023-01-01, the operator returns true. This way, the consultant can create a segment that includes all the customers who have their birthday on the same day as the current date, and the segment will be updated daily with the new birthdays. The other options are not the best operators to use for this purpose because:
* A. The Is Today operator compares a date field with the current date and returns true if the date is the same, including the year. For example, if the date field is 1990-01-01 and the current date is
2023-01-01, the operator returns false. This operator is not suitable for a birthday campaign, as it will only include the customers who were born on the same day and year as the current date, which is very unlikely.
* B. The Is Birthday operator is not a valid operator in Data Cloud. There is no such operator available in the segment canvas or the calculated insight editor.
* C. The Is Between operator compares a date field with a range of dates and returns true if the date is within the range, including the endpoints. For example, if the date field is1990-01-01 and the range is
2022-12-25 to 2023-01-05, the operator returns true. This operator is not suitable for a birthday campaign, as it will only include the customers who have their birthday within a fixed range of dates, and the segment will not be updated daily with the new birthdays.
NEW QUESTION # 62
Which two dependencies need to be removed prior to disconnecting a data source?
Choose 2 answers
- A. Segment
- B. Data stream
- C. Activation
- D. Activation target
Answer: A,B
Explanation:
Dependencies in Data Cloud:
* Before disconnecting a data source, all dependencies must be removed to prevent data integrity issues.
NEW QUESTION # 63
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