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Salesforce Data-Architect Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Salesforce Data Management	25%	- Data import and export strategies 1. Tools: Data Loader, Import Wizard, Bulk API 2. Data validation and cleansing 3. Migration planning and execution - Sharing and visibility design 1. Data access and security model 2. Sharing rules, manual sharing, Apex sharing 3. Organization-wide defaults, role hierarchy
Topic 2: Data Governance and Compliance	20%	- Data lifecycle management 1. Data privacy and security 2. Data retention and archiving policies 3. Data classification and handling - Data governance framework 1. Data stewardship and ownership 2. Compliance and regulatory requirements 3. Data quality standards
Topic 3: Data Integration and Master Data Management	10%	- Master data management 1. Single source of truth design 2. MDM strategy and implementation 3. Data synchronization and consistency - Integration patterns and tools 1. Real-time vs batch integration 2. REST, SOAP, and Bulk API usage 3. External data sources and objects
Topic 4: Large Data Volume Considerations	20%	- Storage and optimization 1. Storage limits and management 2. Archiving and off-platform storage 3. Performance tuning techniques - Performance and scalability 1. Governor limits and bulk processing 2. Avoiding and resolving data skew 3. Handling millions of records
Topic 5: Data Modeling and Database Design	25%	- Design scalable data models 1. Object relationships and cardinality 2. Data model optimization for performance 3. Custom and standard object design - Indexing and data structure 1. Skinny tables and big objects 2. Standard and custom indexes 3. Query optimization strategies

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The Salesforce Data-Architect certification exam offers a great opportunity to advance your career. With the Salesforce Certified Data Architect certification exam beginners and experienced professionals can demonstrate their expertise and knowledge. After passing the Salesforce Certified Data Architect (Data-Architect) exam you can stand out in a crowded job market. The Data-Architect certification exam shows that you have taken the time and effort to learn the necessary skills and have met the standards in the market.

Salesforce Certified Data Architect Sample Questions (Q83-Q88):

NEW QUESTION # 83
As part of addressing general data protection regulation (GDPR) requirements, UC plans to implement a data classification policy for all its internal systems that stores customer information including salesforce.
What should a data architect recommend so that UC can easily classify consumer information maintained in salesforce under both standard and custom objects?

A. Use App Exchange products to classify fields based on policy.
B. Use data classification metadata fields available in field definition.
C. Create a custom picklist field to capture classification of information on customer.
D. Build reports for customer information and validate.

Answer: B

NEW QUESTION # 84
NTO (Northern Trail Outlets) has a complex Salesforce org which has been developed over past 5 years. Internal users are complaining abt multiple data issues, including incomplete and duplicate data in the org. NTO has decided to engage a data architect to analyze and define data quality standards.
Which 3 key factors should a data architect consider while defining data quality standards? Choose 3 answers:

A. Measure data completeness and accuracy
B. Define key fields in staging database for data cleansing
C. Define data duplication standards and rules
D. Finalize an extract transform load (ETL) tool for data migration
E. Measure data timeliness and consistency

Answer: A,C,E

Explanation:
Defining data duplication standards and rules, measuring data timeliness and consistency, and measuring data completeness and accuracy are three key factors that a data architect should consider while defining data quality standards. Defining data duplication standards and rules can help prevent or reduce duplicate records in the org by specifying criteria and actions for identifying and merging duplicates. Measuring data timeliness and consistency can help ensure that the data is up-to-date, reliable, and synchronized across different sources. Measuring data completeness and accuracy can help ensure that the data is sufficient, relevant, and correct for the intended purposes.

NEW QUESTION # 85
Universal Containers (UC) plans to implement consent management for its customers to be compliant with General Data Protection Regulation (GDPR). UC has the following requirements:
UC uses Person Accounts and Contacts in Salesforce for its customers.
Data Protection and Privacy is enabled in Salesforce.
Consent should be maintained in both these objects.
UC plans to verify the consent provided by customers before contacting them through email or phone.
Which option should the data architect recommend to implement these requirements?

A. Build Custom object to store consent information in Person Account and Contact, validate against this object before contacting customers.
B. Delete contact information from customers who have declined consent to be contacted.
C. Configure custom fields in Person Account and Contact to store consent provided by customers, and validate consent against the fields.
D. Use the Consent Management Feature to validate consent provide under the person Account and Contact that is provided by the customer.

Answer: D

Explanation:
Using the Consent Management Feature to validate consent provided under the person Account and Contact that is provided by the customer (option C) is the best option to implement these requirements, as it allows UC to store and manage consent preferences for Person Accounts and Contacts using native Salesforce features and tools. Configuring custom fields in Person Account and Contact to store consent provided by customers and validate consent against the fields (option A) or building Custom object to store consent information in Person Account and Contact and validate against this object before contacting customers (option B) are not good options, as they may require more customization and maintenance effort, and they do not leverage the existing Data Protection and Privacy feature. Deleting contact information from customers who have declined consent to be contacted (option D) is also not a good option, as it may cause data loss or compliance issues, and it does not allow UC to track or update consent preferences.

NEW QUESTION # 86
Universal Containers (UC) has an Application custom object, which has tens of millions of records created in the past 5 years. UC needs the last 5 years of data to exist in Salesforce at all times for reporting and queries.
UC is currently encountering performance issues when reporting and running queries on this Object using date ranges as filters. Which two options can be used to improve report performance?

A. Ask support to create a skinny table for Application with the necessary reporting fields.
B. Add custom indexes to all fields on Application without a standard index.
C. Run multiple reports to get different pieces of the data and combine them.
D. Add custom indexes to the Date fields used for filtering the report.

Answer: A,D

Explanation:
Ask support to create a skinny table for Application with the necessary reporting fields. This is an option that can improve report performance by creating a custom table that contains frequently used fields and copies their values from standard or custom objects. Skinny tables are kept in sync with their source tables and are used in place of them for reports and queries4. Add custom indexes to the Date fields used for filtering the report. This is another option that can improve report performance by creating custom indexes on fields that are often used as filters or join conditions in reports and queries. Custom indexes can speed up data retrieval and reduce query execution time

NEW QUESTION # 87
Universal Containers (UC) is a business that works directly with individual consumers (B2C). They are moving from a current home-grown CRM system to Salesforce. UC has about one million consumer records. What should the architect recommend for optimal use of Salesforce functionality and also to avoid data loading issues?

A. Load all individual consumers as Account records and avoid using the Contact object.
B. Create a Custom Object Individual Consumer c to load all individual consumers.
C. Load one Account record and one Contact record for each individual consumer.
D. Create one Account and load individual consumers as Contacts linked to that one Account.

Answer: C

NEW QUESTION # 88
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