Salesforce Data-Architecture-And-Management-Designer日本語 Value Pack (Frequently Bought Together)

What is the duration of the Data-Architecture-And-Management-Designer Exam

• Number of Questions: 60
• Passing Score: 58%
• Format: Multiple choices, multiple answers
• 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

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

Salesforce Data-Architecture-And-Management-Designer Exam consists of 60 multiple-choice questions that are designed to test a candidate's knowledge and expertise in various aspects of data architecture and management. Data-Architecture-And-Management-Designer-JPN exam covers a wide range of topics, including data modeling, data integration, data migration, data governance, data security, and data quality. Candidates are expected to demonstrate their ability to design and implement scalable and reliable data solutions using Salesforce technologies, as well as their knowledge of best practices and industry standards for data management. Successful candidates will receive the Salesforce Certified Data Architecture and Management Designer certification, which is widely recognized as a mark of excellence in the Salesforce ecosystem.

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To become certified as a Salesforce Certified Data Architecture and Management Designer, candidates must pass a challenging multiple-choice exam. Data-Architecture-And-Management-Designer-JPN exam consists of 60 questions and must be completed within 120 minutes. To pass the exam, candidates must achieve a minimum score of 68%. Data-Architecture-And-Management-Designer-JPN exam is available in several languages, including English, Japanese, and Spanish, and can be taken online or in person at a testing center.

Data-Architecture-And-Management-Designer Exam topics

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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.
• 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).
• Compare and contrast various techniques and considerations for designing a data model for the Customer 360 platform. (e.g. objects, fields & relationships, object features).

2. Master Data Management: 5%

• Given a customer scenario, recommend approaches and techniques for consolidating data attributes from multiple sources. Discuss criteria and methodology for picking the winning attributes.
• 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.)

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 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 appropriate combination of Salesforce license types to effectively leverage standard and custom objects to meet business needs.
• 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, 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.
• Given a customer scenario, recommend appropriate techniques and methods for ensuring high data quality at load time.
• Compare and contrast various techniques for improving performance when migrating large data volumes into Salesforce.

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