Data Cloud Consultant Salesforce Certified Data Cloud Consultant

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Master Key Skills in Salesforce Data Cloud and Cloud Integration

Earning the Salesforce Certified Data Cloud Consultant credential can significantly enhance your career prospects, validating your expertise and opening doors to new opportunities in the Salesforce ecosystem. The Salesforce Data Cloud Consultant certification is ideal for consultants who have experience implementing and consulting on enterprise data platforms in customer-facing roles, including designing, configuring, and architecting solutions.

The Salesforce Data Cloud Consultant is for individuals who meet maintainable and scalable customer business requirements and contribute to long-term customer success. Candidates who are interested in demonstrating their competence with Data Cloud should pursue this certification.

Ideal Candidates for the Salesforce Data Cloud Consultant Exam

Candidates for the Salesforce Certified Data Cloud Consultant exam should have two or more years of experience implementing and working with data strategy and data modeling, including building multiple solutions across Salesforce clouds. The target audience typically includes individuals in development, strategy, business analysis, presales solutioning, or architecture.

Salesforce Certified Data Cloud Consultant candidates have broad knowledge of Salesforce technology, particularly Data Cloud and its capabilities and terminology. Candidates also have experience positioning and implementing Data Cloud within organizations.

Salesforce Data Cloud Consultant Exam Basics

• Format: 60 multiple-choice/multiple-select questions, plus up to five non-scored questions
• Time Allotted: 105 minutes
• Passing Score: 62%
• Registration Fee: USD 200 plus applicable taxes
• Retake Fee: USD 100 plus applicable taxes
• References Allowed: No hard-copy or online materials may be referenced during the exam
• Delivery Options: Proctored exam (online or in-person)
• Prerequisite: None

Key Areas of Focus in the Salesforce Data Cloud Consultant Exam

The Salesforce Certified Data Cloud Consultant exam tests a candidate’s ability to configure, implement, and manage solutions using Salesforce’s Data Cloud platform. Below is an in-depth explanation of the key areas you will be evaluated on:

• Data Cloud Overview (18%)
  • Describe Data Cloud’s function, key terminology, and business value.
  • Identify typical use cases for Data Cloud.
  • Articulate how Data Cloud works and its dependencies.
  • Describe and apply the principles of data ethics.
• Data Cloud Setup and Administration (12%)
  • Apply Data Cloud permissions, permission sets, and org-wide settings.
  • Describe and configure the available data stream types and data bundles.
  • Identify use cases for data spaces and create data spaces based on requirements.
  • Manage and administer Data Cloud using reports, dashboards, flows, packaging, and data kits.
  • Diagnose and explore data using Data Explorer, Profile Explorer, and APIs.
• Data Ingestion and Modeling (20%)
  • Identify the different transformation capabilities within Data Cloud.
  • Describe processes and considerations for data ingestion from different sources into Data Cloud.
  • Define, map, and model data using best practices and aligning to requirements for identity resolution.
  • Use available tools to inspect and validate ingested and modeled data.
• Identity Resolution (14%)
  • Describe matching and how its rule sets are applied.
  • Reconcile data and describe how its rule sets are applied.
  • Describe the results of identity resolution and use cases.
• Segmentation and Insights (18%)
  • Define basic concepts of segmentation and use cases.
  • Identify scenarios for analyzing segment membership.
  • Configure, refine, and maintain segments within Data Cloud.
  • Identify and differentiate between calculated and streaming insights.
• Act on Data (18%)
  • Define activations and their basic use cases.
  • Use attributes and related attributes.
  • Identify and analyze timing dependencies affecting the Data Cloud lifecycle.
  • Troubleshoot common problems with activations including accepted/rejected counts, errors, and not seeing related attributes.
  • Use data actions and identify their requirements and intended use cases.

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