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 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 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 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 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.
- 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 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.
- Given a customer scenario, recommend appropriate combination of Salesforce license types to effectively leverage standard and custom objects to meet business needs.
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, 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.
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.
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, GetCertKey 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. GetCertKey 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. GetCertKey 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.
What is the duration of the Data-Architecture-And-Management-Designer Exam
- Format: Multiple choices, multiple answers
- Passing Score: 58%
- Number of Questions: 60
- Exam delivery options: Proctored exam delivered onsite at a testing center or in an online proctored environment. Click here for information on scheduling an exam.
- Length of Examination: 105 minutes
How to book the Data-Architecture-And-Management-Designer Exam
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Reference: https://trailhead.salesforce.com/en/credentials/dataarchitectureandmanagementdesigner#
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Salesforce Data-Architecture-And-Management-Designer Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Master Data Management | 5% | - Attribute consolidation and survivorship - Golden record and system of truth - Metadata and reference data management |
| Large Data Volume Considerations | 20% | - Archiving and data lifecycle management - Skinny tables and partitioning - Performance and indexing strategies - Query optimization and SOQL best practices |
| Data Migration | 15% | - Data quality and validation - Migration tools and APIs - Bulk load performance - Export and backup strategies |
| Salesforce Data Management | 25% | - Virtual data and external objects - Multi-org data consolidation - Data persistence and consistency - License and object usage strategy |
| Data Governance | 10% | - Compliance and data privacy (GDPR etc.) - Data classification and stewardship - Data governance framework |
| Data Modeling and Database Design | 25% | - Data model design for Customer 360 - Data security and sharing model alignment - Standard, custom, and Big Objects - Relationships, lookup, master-detail |


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