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100% Salesforce Data-Architecture-And-Management-Designer Guaranteed Success With Testing Engine

Exam Code: Data-Architecture-And-Management-Designer

Exam Name: Salesforce Certified Data Architecture and Management Designer

Updated: Sep 28, 2026

Number: 224 Q&As with Testing Engine

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The benefit in Obtaining the Data-Architecture-And-Management-Designer Exam Certification

  • After completing the Salesforce Certified Data Architecture and Management Designer certification Candidate becomes a solid, well-rounded Salesforce Certified Data Architecture and Management Designer.
  • When an organization hiring or promotion an employee, then the decision is made by human resources. Now while Candidate may have an IT background, they do their decisions in a way that takes into record many different factors. One thing is candidates have formal credentials, such as the Salesforce Certified Data Architecture and Management Designer.
  • A candidate might have incredible IT skills. Employers that do the hiring need to make decisions based on limited information and as it always. When they view the official Salesforce Certified Data Architecture and Management Designer certification, they can be guaranteed that a candidate has achieved a certain level of competence.
  • If the Candidate has the desire to move up to a higher-paying position in an organization. This certification will help as always.

Certification Path

Salesforce Administrator Certification is a prerequisite for this exam.

Salesforce Data-Architecture-And-Management-Designer Exam Overview:

Certification Vendor:Salesforce
Exam Name:Salesforce Certified Data Architecture and Management Designer Exam
Exam Number:Data-Architecture-And-Management-Designer
Certificate Validity Period:3 years
Related Certifications:Salesforce Certified System Architect
Salesforce Certified Application Architect
Salesforce Certified Platform Developer I
Real Exam Qty:60 (approximate)
Exam Format:Multiple Choice, Multiple Select
Passing Score:Approximately 58%
Exam Duration:105 minutes
Exam Price:USD 200
Available Languages:English
Recommended Training:Trailhead Data Architecture Modules
Salesforce Architect Journey
Exam Registration:Salesforce Certification Registration
Sample Questions:Salesforce Data-Architecture-And-Management-Designer Sample Questions
Exam Way:Online proctored or test center (onsite)
Pre Condition:Recommended: Salesforce Certified Platform Developer I and/or Salesforce Administrator experience; prior Architect Designer certifications are strongly recommended.
Official Syllabus URL:https://trailhead.salesforce.com/credentials/data-architecture-and-management-designer

Data-Architecture-And-Management-Designer Exam topics

Candidates must know the exam topics before they start of preparation. Because it will really help them in hitting the core. Our Salesforce Data-Architecture-And-Management-Designer exam dumps will include the following topics:

1. Data Modeling/ Database Design 20%

  • Compare and contrast the different reasons for implementing Big Objects vs Standard/Custom objects within a production instance, alongside the unique pros and cons of utilizing Big Objects in a Salesforce data model.
  • Compare and contrast various techniques, approaches and considerations for capturing and managing business and technical metadata (e.g. business dictionary, data lineage, taxonomy, data classification).
  • Given a customer scenario, recommend approaches and techniques to avoid data skew (record locking, sharing calculation issues, and excessive child to parent relationships).
  • Compare and contrast various techniques and considerations for designing a data model for the Customer 360 platform. (e.g. objects, fields & relationships, object features).
  • Given a scenario, recommend approaches and techniques to design a scalable data model that obeys the current security and sharing model.

2. Master Data Management: 5%

  • Given a customer scenario, recommend appropriate approaches and techniques to capture and maintain customer reference & metadata to preserve traceability and establish a common context for business rules
  • Given a customer scenario, recommend and use techniques for establishing a “golden record” or “system of truth” for the customer domain in a Single Org
  • Compare and contrast the various techniques, approaches and considerations for implementing Master Data Management Solutions (e.g. MDM implementation styles, harmonizing & consolidating data from multiple sources, establishing data survivorship rules, thresholds & weights, leveraging external reference data for enrichment, Canonical modeling techniques, hierarchy management.)
  • Given a customer scenario, recommend approaches and techniques for consolidating data attributes from multiple sources. Discuss criteria and methodology for picking the winning attributes.

3. Salesforce Data Management: 25%

  • Given a customer scenario, recommend a design to effectively consolidate and/or leverage data from multiple Salesforce instances.
  • Given a customer scenario, recommend techniques to ensure data is persisted in a consistent manner.
  • Given a customer scenario, recommend appropriate combination of Salesforce license types to effectively leverage standard and custom objects to meet business needs.
  • Given a scenario with multiple systems of interaction, describe techniques to represent a single view of the customer on the Salesforce platform.

4. Data Governance: 10%

  • Given a customer scenario, recommend an approach for designing a GDPR compliant data model. Discuss the various options to identify, classify and protect personal and sensitive information.
  • Compare and contrast various approaches and considerations for designing and implementing an enterprise data governance program.

5. Large Data Volume considerations: 20%

  • Given a customer scenario, decide when to use virtualised data and describe virtualised data options.
  • Given a customer scenario, design a data model that scales considering large data volume and solution performance.
  • Given a customer scenario, recommend a data archiving and purging plan that is optimal for customer's data storage management needs.

6. Data Migration: 15%

  • Compare and contrast various techniques for improving performance when migrating large data volumes into Salesforce.
  • Compare and contrast various techniques and considerations for exporting data from Salesforce.
  • Given a customer scenario, recommend appropriate techniques and methods for ensuring high data quality at load time.

Reference: https://trailhead.salesforce.com/en/credentials/dataarchitectureandmanagementdesigner#

How to study the Data-Architecture-And-Management-Designer Exam

There are two main types of resources for preparation of certification exams first there are the study guides and the books that are detailed and suitable for building knowledge from ground up then there are video tutorial and lectures that can somehow ease the pain of through study and are comparatively less boring for some candidates yet these demand time and concentration from the learner. Smart Candidates who want to build a solid foundation in all exam topics and related technologies usually combine video lectures with study guides to reap the benefits of both but there is one crucial preparation tool as often overlooked by most candidates the practice exams. Practice exams are built to make students comfortable with the real exam environment. Statistics have shown that most students fail not due to that preparation but due to exam anxiety the fear of the unknown. Itbraindumps expert team recommends you to prepare some notes on these topics along with it don't forget to practice Salesforce Data-Architecture-And-Management-Designer exam dumps which been written by our expert team, Both these will help you a lot to clear this exam with good marks.

Salesforce Data-Architecture-And-Management-Designer Exam Syllabus Topics:

SectionObjectives
Topic 1: Master Data Management (MDM)- Golden record strategy
- Deduplication and data matching
Topic 2: Data Modeling and Management- Schema design and normalization concepts
- Relationship modeling (lookup vs master-detail)
- Data modeling strategies in Salesforce
Topic 3: Large Data Volume Management- Indexing and query optimization
- Archiving and partitioning strategies
- Scalability design in Salesforce data architecture
Topic 4: Data Integration and Migration- Integration patterns and best practices
- Data migration planning and execution
- ETL and data loading tools (Data Loader, APIs)
Topic 5: Data Governance- Data quality management
- Data security and compliance considerations
- Data stewardship and lifecycle policies

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