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Latest Salesforce Data-Architect Dumps are here to help you to pass your Salesforce Certification exam with Pass4suresVCE' valid, real, and updated Data-Architect Exam Questions with passing guarantee. The Salesforce Data-Architect certification is a valuable certificate that is designed to advance the professional career. With the Salesforce Certified Data Architect (Data-Architect) certification exam seasonal professionals and beginners get an opportunity to demonstrate their expertise. The Salesforce Certified Data Architect exam recognizes successful candidates in the market and provides solid proof of their expertise.

Salesforce Data-Architect Exam Syllabus Topics:

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

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Salesforce Certified Data Architect Sample Questions (Q179-Q184):

NEW QUESTION # 179
Universal Containers (UC) is concerned about the accuracy of their Customer information in Salesforce. They have recently created an enterprise-wide trusted source MDM for Customer data which they have certified to be accurate. UC has over 20 million unique customer records in the trusted source and Salesforce. What should an Architect recommend to ensure the data in Salesforce is identical to the MDM?

A. Load the Trusted Source data into Salesforce and run an Apex Batch job to find difference.
B. Leave the data in Salesforce alone and assume that it will auto-correct itself over time.
C. Use an AppExchange package for Data Quality to match Salesforce data against the Trusted source.
D. Extract the Salesforce data into Excel and manually compare this against the trusted source.

Answer: C

NEW QUESTION # 180
Universal Containers (CU) is in the process of implementing an enterprise data warehouse (EDW). UC needs to extract 100 million records from Salesforce for migration to the EDW.
What data extraction strategy should a data architect use for maximum performance?

A. Call the REST API in successive queries.
B. Utilize PK Chunking with the Bulk API.
C. Use the Bulk API in parallel mode.
D. Install a third-party AppExchange tool.

Answer: B

NEW QUESTION # 181
Get Cloudy Consulting is migrating their legacy system's users and data to Salesforce. They will be creating 15,000 users, 1.5 million Account records, and 15 million Invoice records. The visibility of these records is controlled by a 50 owner and criteria-based sharing rules.
Get Cloudy Consulting needs to minimize data loading time during this migration to a new organization.
Which two approaches will accomplish this goal? (Choose two.)

A. Create the users, upload all data, and then deploy the sharing rules.
B. First, load all account records, and then load all user records.
C. Defer sharing calculations until the data has finished uploading.
D. Contact Salesforce to activate indexing before uploading the data.

Answer: A,C

Explanation:
Creating the users, uploading all data, and then deploying the sharing rules will reduce the number of sharing recalculations that occur during the data load. Deferring sharing calculations until the data has finished uploading will also improve the performance by postponing the sharing rule evaluation. These are the recommended best practices for loading large data sets into Salesforce

NEW QUESTION # 182
Universal Containers (UC) has an open sharing model for its Salesforce users to allow all its Salesforce internal users to edit all contacts, regardless of who owns the contact. However, UC management wants to allow only the owner of a contact record to delete that contact. If a user does not own the contact, then the user should not be allowed to delete the record. How should the architect approach the project so that the requirements are met?

A. Set the Sharing settings as Public Read Only for the Contact object.
B. Create a validation rule on the Contact object to check if the current user is not the owner.
C. Create a "before delete" trigger to check if the current user is not the owner.
D. Set the profile of the users to remove delete permission from the Contact object.

Answer: C

Explanation:
To allow only the owner of a contact record to delete that contact, the data architect should create a "before delete" trigger to check if the current user is not the owner. The trigger can use the UserInfo.getUserId() method to get the current user's ID and compare it with the OwnerId field of the contact record. If they are not equal, the trigger can add an error to the record and prevent it from being deleted. The other options are not suitable for meeting the requirements, as they would either restrict the edit access or delete access for all users, regardless of ownership.

NEW QUESTION # 183
What makes Skinny tables fast? Choose three answers.

A. Their tables are kept in sync with their source tables when the source tables are modified
B. They do not include soft-deleted records
C. They support up to a max of 100 of columns
D. They avoid resource intensive joins
E. They can contain fields from other objects

Answer: A,B,D

Explanation:
Skinny tables are custom tables that contain frequently used fields from a standard or custom object. They are used to improve performance by reducing the number of database joins required for queries. Skinny tables have the following characteristics1:
They do not include soft-deleted records, which means they only contain active records and save space.
They avoid resource intensive joins by storing data from multiple objects in one table, which reduces the query time and complexity.
Their tables are kept in sync with their source tables when the source tables are modified, which ensures data consistency and accuracy.

NEW QUESTION # 184
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