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. UpdateDumps 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.

How much Data-Architecture-And-Management-Designer Exam Cost

The price of the Salesforce Data-Architecture-And-Management-Designer exam is $400 USD and exam retake fee is $200 USD.

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%

• 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.
• 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).

2. Master Data Management: 5%

• 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
• 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 approaches and techniques for consolidating data attributes from multiple sources. Discuss criteria and methodology for picking the winning attributes.
• 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.)

3. Salesforce Data Management: 25%

• 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.
• Given a customer scenario, recommend a design to effectively consolidate and/or leverage data from multiple Salesforce instances.

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

6. Data Migration: 15%

• Compare and contrast various techniques and considerations for exporting data from Salesforce.
• Compare and contrast various techniques for improving performance when migrating large data volumes into 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#

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