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Salesforce Data-Architect (Salesforce Certified Data Architect) Certification Exam is designed for professionals who are seeking to demonstrate their expertise in designing and implementing complex data solutions in Salesforce. Salesforce Certified Data Architect certification is perfect for individuals who have a strong background in data architecture and are looking to take their skills to the next level with Salesforce.
Salesforce Certified Data Architect certification exam is a rigorous exam that requires extensive preparation and study. Data-Architect Exam consists of multiple-choice questions, scenario-based questions, and hands-on exercises. Candidates must pass the exam with a minimum passing score of 65% to earn the certification. Salesforce Certified Data Architect certification is valid for two years, after which the individual must retake the exam to maintain their certification.
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NEW QUESTION # 10
Northern trail Outfitters (NTO) runs its entire out of an enterprise data warehouse (EDW), NTD's sales team starting to use Salesforce after a recent implementation, but currently lacks data required to advanced and opportunity to the next stage.
NTO's management has research Salesforce Connect and would like to use It to virtualize and report on data from the EDW within Salesforce. NTO will be running thousands of reports per day across 10 to 15 external objects.
What should a data architect consider before implementing Salesforce Connect for reporting?
Answer: C
NEW QUESTION # 11
Universal Containers has a requirement to store more than 100 million records in salesforce and needs to create a custom big object to support this business requirement.
Which two tools should a data architect use to build custom object?
Answer: A,C
NEW QUESTION # 12
Universal Containers (UC) manages Vehicle and Service History in Salesforce. Vehicle (Vehicle__ c) and Service History (Service-History__ c) are both custom objects related through a lookup relationship.
Every week a batch synchronization process updates the Vehicle and Service History records in Salesforce. UC has two hours of migration window every week and is facing locking issues as part of the data migration process.
What should a data architect recommend to avoid locking issues without affecting performance of data migration?
Answer: D
Explanation:
According to the official Salesforce guide1, using Bulk API serial mode for data migration can help avoid locking issues by processing batches in a single thread. This mode ensures that batches are processed in the order they are received and that only one batch is processed at a time. This reduces the risk of lock contention and deadlocks, especially when updating parent and child records in a lookup relationship. Option B is the correct answer because it suggests using Bulk API serial mode for data migration. Option A is incorrect because using Bulk API parallel mode for data migration can cause locking issues by processing batches in multiple threads. This mode does not guarantee the order of batch processing and can result in concurrent updates to the same records, which can lead to lock contention and deadlocks. Option C is incorrect because inserting the order in another custom object and using Batch Apex to move the records to Service_Order__c object adds unnecessary complexity and overhead to the data migration process. Option D is incorrect because changing the lookup configuration to "Clear the value of this field" when lookup record is deleted does not address the locking issues caused by data migration, but rather by record deletion.
NEW QUESTION # 13
Northern Trail Outfitters (NTO) has a variety of customers that include householder, businesses, and individuals.
The following conditions exist within its system:
NTO has a total of five million customers.
Duplicate records exist, which is replicated across many systems, including Salesforce.
Given these conditions, there is a lack of consistent presentation and clear identification of a customer record.
Which three option should a data architect perform to resolve the issues with the customer data?
Answer: B,D,E
Explanation:
Creating a unique global customer ID for each customer and storing that in all systems for referential identity (option A), investing in a data duplicate tool to de-dupe and merge duplicate records across all systems (option C), and creating a customer master database external to Salesforce as a system of truth and syncing the customer data with all systems (option E) are the three options that a data architect should perform to resolve the issues with the customer data. Option A ensures that each customer can be uniquely identified across different systems, option C eliminates duplicate records and improves data quality, and option E provides a consistent and reliable source of customer data for all systems. Using Salesforce CDC to sync customer data across all systems (option B) is not a good option, as it does not address the duplication or inconsistency issues. Duplicating customer records across the system and providing a two-way sync of data between the systems (option D) is also not a good option, as it may create more confusion and conflicts with customer data.
NEW QUESTION # 14
UC has to built a B2C ecommerce site on Heroku that shares customer and order data with a Heroku Postgres database. UC is currently utilizing Postgres as the single source of truth for both customers and orders. UC has asked a data architect to replicate the data into salesforce so that salesforce can now act as the system of record.
What are the 3 considerations that data architect should weigh before implementing this requirement? Choose
23 answers:
Answer: A,D,E
Explanation:
Before replicating the data from Heroku Postgres to Salesforce, the data architect should consider the following factors:
Whether the data is a driver of key processes implemented within Salesforce. For example, if the data is used for workflows, triggers, or validation rules, it should be replicated to Salesforce.
Whether there is a tight relationship between order data and an enterprise resource planning (ERP) application. For example, if the order data needs to be synchronized with the ERP system, it should be replicated to Salesforce.
The selection of the tool required to replicate the data. For example, Heroku Connect can be used to bi-directionally sync data between Heroku Postgres and Salesforce
NEW QUESTION # 15
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