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Data-Architect Exams | Authorized Data-Architect Certification
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Salesforce is a cloud-based customer relationship management (CRM) software that is widely used by businesses of all sizes. As companies handle huge amounts of data, they need professionals who can manage that data efficiently. The Salesforce Certified Data Architect certification exam is designed to test an individual's ability to design and implement data solutions that meet business requirements.
The Data-Architect Certification Exam is a challenging exam that requires a significant amount of preparation and study. Candidates must have an in-depth understanding of Salesforce data architecture, data modeling, and data governance. They must also have practical experience working with data integrations and data migration.
Authorized Data-Architect Certification - Data-Architect Exam QuestionsWith vast experience in this field, BraindumpsIT always comes forward to provide its valued customers with authentic, actual, and genuine Data-Architect exam dumps at an affordable cost. All the Data-Architect questions given in the product are based on actual examination topics. BraindumpsIT regularly updates Data-Architect Practice Exam material to ensure that it keeps in line with the test. In the same way, BraindumpsIT provides a free demo before you purchase so that you may know the quality of the Data-Architect dumps.
Achieving the Salesforce Certified Data Architect certification can provide numerous benefits for your career. Salesforce Certified Data Architect certification demonstrates your expertise in designing and implementing complex data solutions within the Salesforce platform, which can be valuable for companies looking to hire or promote data architects. Additionally, this certification can help you stand out in a competitive job market and increase your earning potential.
Salesforce Certified Data Architect Sample Questions (Q143-Q148):NEW QUESTION # 143
Northern Trail Outfitters (NTO) wants to start a loyalty program to reward repeat customers. The program will track every item a customer has bought and grants them points for discounts. The following conditions will exist upon implementation:
Data will be used to drive marketing and product development initiatives.
NTO estimates that the program will generate 100 million rows of date monthly.
NTO will use Salesforce's Einstein Analytics and Discovery to leverage their data and make business and marketing decisions.
What should the Data Architect do to store, collect, and use the reward program data?
- A. Have Einstein connect to the point of sales system to capture the Reward Program data.
- B. Create a big object in Einstein Analytics to capture the Loyalty Program data.
- C. Create a custom big object in Salesforce which will be used to capture the Reward Program data for consumption by Einstein.
- D. Create a custom object in Salesforce that will be used to capture the Reward Program data.
Answer: C
Explanation:
According to the official Salesforce guide1, big objects are designed to store and manage massive data volumes within Salesforce without affecting performance. They can be queried by using Async SOQL or standard SOQL, and they can be accessed by using Apex, Visualforce, Lightning components, or APIs. Big objects are ideal for storing data that is used for analytics or reporting purposes, such as the reward program data. Option A is the correct answer because it allows NTO to create a custom big object in Salesforce that can store the reward program data and make it available for consumption by Einstein Analytics and Discovery.
Option B is incorrect because Einstein cannot connect directly to the point of sales system to capture the reward program data. Option C is incorrect because Einstein Analytics does not support creating big objects.
Option D is incorrect because custom objects are not suitable for storing large volumes of data.
NEW QUESTION # 144
Universal Containers (UC) has users complaining about reports timing out or simply taking too long to run What two actions should the data architect recommend to improve the reporting experience? Choose 2 answers
- A. Create one skinny table per report.
- B. Share each report with fewer users.
- C. Enable Divisions for large data objects.
- D. Index key fields used in report criteria.
Answer: A,D
Explanation:
Indexing key fields used in report criteria can speed up the query execution and reduce the report run time.
Indexes can be created by Salesforce automatically or manually by request. Creating one skinny table per report can also improve the reporting performance by storing frequently used fields in a separate table that does not include complex formulas or joins.
NEW QUESTION # 145
DreamHouse Realty has a data model as shown in the image. The Project object has a private sharing model, and it has Roll-Up summary fields to calculate the number of resources assigned to the project, total hours for the project, and the number of work items associated to the project.
There will be a large amount of time entry records to be loaded regularly from an external system into Salesforce.

What should the Architect consider in this situation?
- A. Load all data using external IDs to link to parent records.
- B. Load all data after deferring sharing calculations.
- C. Calculate summary values instead of Roll-Up by using workflow.
- D. Calculate summary values instead of Roll-Up by using triggers.
Answer: B
Explanation:
According to the exam guide, one of the objectives is to "describe the use cases and considerations for deferring sharing calculations"1. This implies that option A is the correct way to load large amounts of data into Salesforce without affecting performance and data integrity. Deferring sharing calculations allows the data to be loaded first and then the sharing rules to be applied later2. Option B is not correct because workflows are not recommended for calculating summary values, as they can cause performance issues and data skew3. Option C is not correct because triggers are also not recommended for calculating summary values, as they can cause governor limit errors and data inconsistency. Option D is not correct because external IDs are used to link records from different systems, not to improve data loading performance.
NEW QUESTION # 146
Northern Trail outfitters in migrating to salesforce from a legacy CRM system that identifies the agent relationships in a look-up table.
What should the data architect do in order to migrate the data to Salesfoce?
- A. Migrate to Salesforce without a record owner.
- B. Assign record owner based on relationship.
- C. Migrate the data and assign to a non-person system user.
- D. Create custom objects to store agent relationships.
Answer: D
Explanation:
The correct answer is A. To migrate the data to Salesforce, the data architect should create custom objects to store agent relationships. This will allow the data architect to replicate the look-up table structure from the legacy CRM system and maintain the relationship data in Salesforce. Option B is incorrect because migrating to Salesforce without a record owner will cause errors and prevent the data from being imported. Option C is incorrect because assigning record owner based on relationship will not preserve the agent relationships from the legacy CRM system. Option D is incorrect because migrating the data and assigning to a non-person system user will not allow the users to access and modify the data.
NEW QUESTION # 147
UC has the following system:
Billing system.
Customer support system.
CRM system.
US has been having trouble with business intelligence across the different systems. Recently US implemented a master data management (MDM) solution that will be the system of truth for the customer records.
Which MDM data element is needed to allow reporting across these systems?
- A. Phone number.
- B. Full name.
- C. Email address.
- D. Global unique customer number.
Answer: D
NEW QUESTION # 148
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