Certification Data-Architect Exam Infor | Data-Architect Valid Exam Syllabus

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Salesforce Data-Architect certification is a highly sought-after credential in the IT industry, particularly for professionals who work with Salesforce. Salesforce Certified Data Architect certification demonstrates a professional's proficiency in designing and implementing data solutions that meet the complex needs of modern businesses. Salesforce Certified Data Architect certification exam covers a wide range of topics related to Salesforce data architecture, including data modeling, data integration, data migration, and data governance. It is an advanced certification that requires a deep understanding of Salesforce's data architecture and best practices for managing complex data solutions. Achieving the Salesforce Data-Architect Certification can help professionals advance their careers and increase their earning potential.

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Salesforce Certified Data Architect exam is intended for professionals who have extensive experience working with Salesforce data architecture and have demonstrated proficiency in designing and implementing complex data solutions. Candidates must have a deep understanding of data modelling, data governance, data integration, and data migration best practices. They must also be familiar with the latest technologies and tools used for data management in the Salesforce ecosystem. Passing the Salesforce Certified Data Architect exam is a significant achievement that demonstrates a candidate's expertise in creating and maintaining data solutions on the Salesforce platform.

Salesforce Certified Data Architect Sample Questions (Q259-Q264):

NEW QUESTION # 259
Universal Containers (UC) management has identified a total of ten text fields on the Contact object as important to capture any changes made to these fields, such as who made the change, when they made the change, what is the old value, and what is the new value. UC needs to be able to report on these field data changes within Salesforce for the past 3 months. What are two approaches that will meet this requirement? Choose 2 answers

A. Turn on field Contact object history tracking for these ten fields, then create reports on contact history.
B. Create a workflow to evaluate the rule when a record is created and use field update actions to store previous values for these ten fields in ten new fields.
C. Write an Apex trigger on Contact after insert event and after update events and store the old values in another custom object.
D. Create a Contact report including these ten fields and Salesforce Id, then schedule the report to run once a day and send email to the admin.

Answer: A,C

NEW QUESTION # 260
Universal Containers would like to remove data silos and connect their legacy CRM together with their ERP and with Salesforce. Most of their sales team has already migrated to Salesforce for daily use, although a few users are still on the old CRM until some functionality they require is completed. Which two techniques should be used for smooth interoperability now and in the future.

A. Do not connect Salesforce and the legacy CRM to each other during this transition period, but do allow both to interact with the ERP.
B. Work with stakeholders to establish a Master Data Management plan for the system of record for specific objects, records, and fields.
C. Replicate ongoing changes in the legacy CRM to Salesforce to facilitate a smooth transition when the legacy CRM is eventually retired.
D. Specify the legacy CRM as the system of record during transition until it is removed from operation and fully replaced by Salesforce.

Answer: B,D

Explanation:
Specify the legacy CRM as the system of record during transition until it is removed from operation and fully replaced by Salesforce. This is a good technique to ensure data consistency and avoid conflicts between the two systems. Work with stakeholders to establish a Master Data Management plan for the system of record for specific objects, records, and fields. This is another good technique to define the data governance and stewardship policies and processes for managing data quality and integrity across multiple systems

NEW QUESTION # 261
North Trail Outfitters (NTO) operates a majority of its business from a central Salesforce org, NTO also owns several secondary orgs that the service, finance, and marketing teams work out of, At the moment, there is no integration between central and secondary orgs, leading to data-visibility issues.
Moving forward, NTO has identified that a hub-and-spoke model is the proper architect to manage its data, where the central org is the hub and the secondary orgs are the spokes.
Which tool should a data architect use to orchestrate data between the hub org and spoke orgs?

A. Develop custom APIs to poll the spoke for change data and push into the org.
B. A backup and archive solution that extracts and restores data across orgs.
C. Develop custom APIs to poll the hub org for change data and push into the spoke orgs.
D. A middleware solution that extracts and distributes data across both the hub and spokes.

Answer: D

NEW QUESTION # 262
NTO processes orders from its website via an order management system (OMS). The OMS stores over 2 million historical records and is currently not integrated with SF. The Sales team at NTO using Sales cloud and would like visibility into related customer orders yet they do not want to persist millions of records directly in Salesforce. NTO has asked the data architect to evaluate SF connect and the concept of data verification. Which 3 considerations are needed prior to a SF Connect implementation?
Choose 3 answers:

A. Create a 2nd system Admin user for authentication to the external source.
B. Identify the external tables to sync into external objects
C. Develop an object relationship strategy.
D. Assess whether the external data source is reachable via an ODATA endpoint.
E. Configure a middleware tool to poll external table data

Answer: B,C,D

Explanation:
The three considerations needed prior to a SF Connect implementation are to develop an object relationship strategy, identify the external tables to sync into external objects, and assess whether the external data source is reachable via an ODATA endpoint. SF Connect is a feature that allows integrating external data sources with Salesforce using external objects. External objects are similar to custom objects, but they store metadata only and not data. They enable on-demand access to external data via standard Salesforce APIs and user interfaces. To implement SF Connect, a data architect needs to consider how the external objects will relate to other objects in Salesforce, which external tables will be exposed as external objects, and whether the external data source supports ODATA protocol for data access.

NEW QUESTION # 263
NTO has multiple systems across its enterprise landscape including salesforce, with disparate version the customer records.
In salesforce, the customer is represented by the contact object.
NTO utilizes an MDM solution with these attributes:
1. The MDM solution keeps track of customer master with a master key.
2. The master key is a map to the record ID's from each external system that customer data is stored within.
3. The MDM solution provides de-duplication features, so it acts as the single source of truth.
How should a data architect implement the storage of master key within salesforce?

A. Store the master key in Heroku postgres and use Heroku connect for synchronization.
B. Create a custom object to store the master key with a lookup field to contact.
C. Create an external object to store the master key with a lookup field to contact.
D. Store the master key on the contact object as an external ID (Field for referential imports)

Answer: D

NEW QUESTION # 264
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