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Salesforce Data-Architect Certification Exam is an important milestone for any data architect who works with Salesforce. Salesforce Certified Data Architect certification is highly respected in the industry, and passing the exam demonstrates a high level of skill and expertise in the field of Salesforce data architecture. Candidates who are interested in obtaining the certification should be prepared to invest time and effort in preparation, but the rewards are well worth it.

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Keeping in view different preparation styles of Salesforce Data-Architect test applicant TestBraindump has designed three easy-to-use formats for its product. Each format has a pool of Salesforce Certified Data Architect (Data-Architect) actual questions which have been compiled under the guidance of thousands of professionals worldwide. Questions in this product will appear in the Salesforce Data-Architect final test.

Salesforce Certified Data Architect Sample Questions (Q247-Q252):

NEW QUESTION # 247
Universal Containers (UC) has adopted Salesforce as its primary sales automated tool. UC has 100,00 customers with a growth rate of 10% a year, UC uses an on-premise web-based billing and invoice system that generates over 1 million invoices a year supporting a monthly billing cycle.
The UC sales team needs to be able to pull a customer record and view their account status, Invoice history, and opportunities without navigating outside of Salesforce.
What should a data architect use to provide the sales team with the required functionality?

A. Create a mashup page that will present the billing system records within Salesforce.
B. Create a visual force tab with the billing system encapsulated within an iframe.
C. Write an Apex callout and populate a related list to display on the account record.
D. Create a custom object and migrate the last 12 months of Invoice data into Salesforce so it can be displayed on the Account layout.

Answer: A

Explanation:
To provide the sales team with the required functionality, a data architect should use a mashup page that will present the billing system records within Salesforce. A mashup page is a web page that combines data from multiple sources into a single integrated view. A mashup page can be created using Visualforce or Lightning Web Components, and can use Salesforce Connect or custom integrations to access external data from the on-premise web-based billing and invoice system. This will allow the sales team to pull a customer record and view their account status, invoice history, and opportunities without navigating outside of Salesforce. Option A is incorrect because creating a custom object and migrating the last 12 months of invoice data into Salesforce so it can be displayed on the account layout will consume a lot of storage space and may not reflect the latest data from the billing system. Option B is incorrect because writing an Apex callout and populating a related list to display on the account record will require additional development effort and may not be scalable or performant for large volumes of data. Option D is incorrect because creating a visual force tab with the billing system encapsulated within an iframe will not allow the sales team to view the billing system records within the customer record, but rather in a separate tab.

NEW QUESTION # 248
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

Explanation:
According to the Salesforce documentation2, extracting large amounts of data from Salesforce can be challenging and time-consuming, as it can encounter performance issues, API limits, timeouts, etc. To extract
100 million records from Salesforce for migration to an enterprise data warehouse (EDW), a data extraction strategy that can provide maximum performance is:
Utilize PK Chunking with the Bulk API (option C). This means using a feature that allows splitting a large query into smaller batches based on the record IDs (primary keys) of the queried object. This can improve performance and avoid timeouts by processing each batch asynchronously and in parallel using the Bulk API3.
Installing a third-party AppExchange tool (option A) is not a good solution, as it can incur additional costs and dependencies. It may also not be able to handle such a large volume of data efficiently. Calling the REST API in successive queries (option B) is also not a good solution, as it can encounter API limits and performance issues when querying such a large volume of data. Using the Bulk API in parallel mode (option D) is also not a good solution, as it can still cause timeouts and errors when querying such a large volume of data without chunking.

NEW QUESTION # 249
Universal Containers (UC) wants to ensure their data on 100,000 Accounts pertaining mostly to US-based companies is enriched and cleansed on an ongoing basis. UC is looking for a solution that allows easy monitoring of key data quality metrics. What should be the recommended solution to meet this requirement?

A. Use a declarative approach by installing and configuring Data.com Clean to monitor Account data quality.
B. Implement Batch Apex that calls out a third-party data quality API in order to monitor Account data quality.
C. Use declarative approach by installing and configuring Data.com Prospector to monitor Account data quality.
D. Implement an Apex Trigger on Account that queries a third-party data quality API to monitor Account data quality.

Answer: A

Explanation:
Using a declarative approach by installing and configuring Data.com Clean to monitor Account data quality can help UC meet their requirement. Data.com Clean can enrich and cleanse data on an ongoing basis by comparing Salesforce records with Data.com records and providing suggestions for updates. Data.com Clean can also provide dashboards and reports to monitor key data quality metrics such as match rate, field fill rate, and record completeness

NEW QUESTION # 250
Universal Containers (UC) has lead assignment rules to assign leads to owners. Leads not routed by assignment rules are assigned to a dummy user. Sales rep are complaining of high load times and issues with accessing leads assigned to the dummy user.
What should a data architect recommend to solve these performance issues?

A. Periodically delete leads to reduce number of leads
B. Assign dummy user to highest role in role hierarchy
C. Create multiple dummy user and assign leads to them
D. Assign dummy user last role in role hierarchy

Answer: C

Explanation:
According to the official Salesforce guide1, assigning leads to a single dummy user can cause performance issues and data skew, especially if the dummy user owns more than 10,000 records. Data skew occurs when a single user or a small number of users own a disproportionately large number of records, which can affect query performance and sharing calculations. Option B is the correct answer because it suggests creating multiple dummy users and assigning leads to them, which can distribute the load and reduce data skew. Option A is incorrect because assigning the dummy user to the last role in the role hierarchy does not affect the performance or data skew issues. Option C is incorrect because assigning the dummy user to the highest role in the role hierarchy can worsen the performance and data skew issues, as it will grant access to more users and records. Option D is incorrect because periodically deleting leads can cause data loss and does not address the root cause of the problem.

NEW QUESTION # 251
UC is building a salesforce application to track contacts and their respective conferences that they have attended with the following requirements:
1.Contacts will be stored in the standard contact object.
2.Conferences will be stored in a custom conference_ c object.
3.Each contact may attend multiple conferences and each conference may be related to multiple contacts.
How should a data architect model the relationship between the contact and conference objects?

A. Implement a Contact Conference junction object with master detail relationship to both contact and conference_c
B. Create a lookup relationship field on contact object.
C. Create a master detail relationship field on the Contact object.
D. Create a master detail relationship field on the Conference object.

Answer: A

Explanation:
Implementing a Contact Conference junction object with master detail relationship to both contact and conference_c is the correct way to model the relationship between the contact and conference objects, as it allows a many-to-many relationship between them. This means that each contact can attend multiple conferences, and each conference can be related to multiple contacts. Creating a master detail relationship field on either the contact or the conference object would create a one-to-many relationship, which does not meet the requirements. Creating a lookup relationship field on contact object would also create a one-to-many relationship, and would not enforce referential integrity.

NEW QUESTION # 252
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