Salesforce Certified Data Cloud Consultant Practice Exam
Salesforce Certified Data Cloud Consultant Practice Exam
About Salesforce Certified Data Cloud Consultant Exam
The Salesforce Certified Data Cloud Consultant has been developed for candidates responsible for addressing sustainable and scalable customer business needs, playing a pivotal role in fostering long-term success for clients.
Required Knowledge
- Candidates should possess comprehensive expertise in Data Cloud and its functionalities, encompassing the ability to manage the business value of Data Cloud, as well as skillfully designing and implementing tailored Data Cloud solutions for clients.
- Those pursuing the Salesforce Certified Data Cloud Consultant certification demonstrate extensive familiarity with Salesforce technology, particularly in relation to Data Cloud and its capabilities and terminology.
- Candidates are also expected to have practical experience in positioning and implementing solutions using Data Cloud.
Who should take the exam?
- The certification as a Salesforce Certified Data Cloud Consultant is well-suited for consultants with a background in implementing and advising on enterprise data platforms in customer-facing positions. This includes hands-on experience in designing, configuring, and architecting solutions.
- Candidates for this examination are expected to possess a minimum of two years of experience in implementing and engaging with data strategy and data modeling. This includes the development of multiple solutions across various Salesforce clouds.
- The intended audience generally include candidates with backgrounds in development, strategy, business analysis, presales solutioning, or architecture.
Exam Details
- Total questions: Content: 60 multiple-choice questions
- Exam Duration: 105 minutes
- Passing score: 62% and above
- Exam Type: Closed-book exam
- Exam Prerequisite: None
Course Outline
The Salesforce Data Cloud Consultant exam measures a candidate’s knowledge and skills related to the following topics -
Domain 1 - Describe Solution Overview (18%)
- Learn about Data Cloud’s function, key terminology, and business value.
- Learn to Identify typical use cases for Data Cloud.
- Learn to Articulate the Data Cloud lifecycle and its dependencies..
- Learn and apply the principles of data ethics.
Domain 2 - Describe Data Cloud Setup and Administration (12%)
- Learn and apply Data Cloud permissions, permission sets, and org-wide settings.
- Learn and configure the available data stream types and data bundles.
- Learn to identify use cases for data spaces and create data spaces based on requirements.
- Learn to manage and administer Data Cloud using reports, dashboards, flows, packaging, and data kits.
- Learn to diagnose and explore data using Data Explorer, Profile Explorer, and APIs.
Domain 3 - Describe Data Ingestion and Modeling (20%)
- Learn to identify the different transformation capabilities within Data Cloud.
- Learn about processes and considerations for data ingestion from different sources into Data Cloud.
- Learn to define, map, and model data using best practices and aligning to requirements for identity resolution.
- Learn to use available tools to inspect and validate ingested and modeled data.
Domain 4 - Describe Identity Resolution (14%)
- Learn about matching and how its rule sets are applied.
- Learn to reconcile data and describe how its rule sets are applied.
- Learn to describe the results of identify resolution and use cases.
Domain 5 - Describe Segmentation and Insights (18%)
- Learn basic concepts of segmentation and use cases.
- Learn to identify scenarios for analyzing segment membership.
- Learn to configure, refine, and maintain segments within Data Cloud.
- Learn to identify and differentiate between calculated and streaming insights.
Domain 6 - Describe Act on Data (18%)
- Learn about activations and their basic use cases.
- Learn to use attributes and related attributes.
- Learn to identify and analyze timing dependencies affecting the Data Cloud lifecycle.
- Learn to troubleshoot common problems with activations including accepted/rejected counts, errors, and not seeing related attributes.
- Learn to use data actions and identify their requirements and intended use cases.
What do we offer?
- Full-Length Mock Test with unique questions in each test set
- Practice objective questions with section-wise scores
- In-depth and exhaustive explanation for every question
- Reliable exam reports evaluating strengths and weaknesses
- Latest Questions with an updated version
- Tips & Tricks to crack the test
- Unlimited access
What are our Practice Exams?
- Practice exams have been designed by professionals and domain experts that simulate real-time exam scenario.
- Practice exam questions have been created on the basis of content outlined in the official documentation.
- Each set in the practice exam contains unique questions built with the intent to provide real-time experience to the candidates as well as gain more confidence during exam preparation.
- Practice exams help to self-evaluate against the exam content and work towards building strength to clear the exam.
- You can also create your own practice exam based on your choice and preference
