Difficulty in writing Data-Architecture-And-Management-Designer Exam

This is exam is very difficult for those candidates who don't practice during preparation and candidates need a lab for practicing. Then practical exposure is much required to understand the contents of the exam. So, if anyone is associated with some kinds of an organization where he has opportunities to practice but if you can't afford the lab and don't have time to practice. So, Itcertking is the solution to this problem. We provide the best Salesforce Data-Architecture-And-Management-Designer exam dumps and practice test for your preparation. Salesforce Data-Architecture-And-Management-Designer exam dumps to ensure your success in the Salesforce Data-Architecture-And-Management-Designer Certification Exam at first attempt. Our Salesforce Data-Architecture-And-Management-Designer exam dumps are updated on regular basis. Itcertking developed mobile application and online test engine which can be used by the candidates, so from now onwards, it is not needed that they need to be always infront of their laptop or computer to practice exam questions, they can do practice even from their mobile phone. Itcertking provides verified questions with relevant answers which candidate can expect to be coming in the exam. So, these all necessary option would be providing better opportunity for the participants to clear their exam with good grace.

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. Itcertking 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.

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 scenario, recommend approaches and techniques to design a scalable data model that obeys the current security and sharing model.
• 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).
• 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).
• 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.

2. Master Data Management: 5%

• 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 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
• 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 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 techniques to ensure data is persisted in a consistent manner.

4. Data Governance: 10%

• Compare and contrast various approaches and considerations for designing and implementing an enterprise data governance program.
• 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.

5. Large Data Volume considerations: 20%

• 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.
• 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 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#