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Salesforce Certified Data Architect Sample Questions (Q93-Q98):
NEW QUESTION # 93
UC has migrated its Back-office data into an on-premise database with REST API access. UC recently implemented Sales cloud for its sales organization. But users are complaining about a lack of order data inside SF.
UC is concerned about SF storage limits but would still like Sales cloud to have access to the data.
Which design patterns should a data architect select to satisfy the requirement?
- A. Develop a bidirectional integration between the on-premise system and Salesforce.
- B. Build a UI for the on-premise system and iframe it in Salesforce
- C. Use SF Connect to virtualize the data in SF and avoid storage limits.
- D. Migrate and persist the data in SF to take advantage of native functionality.
Answer: C
NEW QUESTION # 94
Universal Containers (UC) has deployed Salesforce to manage Marketing. Sales, and Support efforts in a multi -system ERP environment After reaching the limits of native reports & dashboards. UC leadership is looking to understand what options can be used to provide more analytical insights. What two approaches should an architect recommend? Choose 2 answers
- A. AppExchange Apps
- B. Setup Audit Trails
- C. Wave Analytics
- D. Weekly Snapshots
Answer: A,C
Explanation:
According to the exam guide, one of the objectives is to "describe the use cases and considerations for using AppExchange apps and Wave Analytics"1. This implies that options A and B are both valid approaches to provide more analytical insights. Option C is not correct because weekly snapshots are used to track changes over time, not to provide advanced analytics3. Option D is not correct because setup audit trails are used to monitor changes in the setup menu, not to provide analytical insights.
NEW QUESTION # 95
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:
- A. Consider whether the data is required for sales reports, dashboards and KPI's.
- B. A selection of the tool required to replicate the data.
- C. Ensure the data is CRM center and able to populate standard of custom objects.
- D. Ensure there is a tight relationship between order data and an enterprise resource plaining (ERP) application.
- E. Determine if the data is driver of key process implemented within salesforce.
Answer: C,E
Explanation:
a. - Heroku Connect is required but this is confusing
NEW QUESTION # 96
Two million Opportunities need to be loaded in different batches into Salesforce using the Bulk API in parallel mode.
What should an Architect consider when loading the Opportunity records?
- A. Group batches by the AccountId field.
- B. Use the Name field values to sort batches.
- C. Order batches by Auto-number field.
- D. Create indexes on Opportunity object text fields.
Answer: A
Explanation:
Grouping batches by the AccountId field can improve the performance and avoid locking issues when loading Opportunity records using the Bulk API in parallel mode1. This is because the AccountId field is indexed and can be used to distribute the records evenly across batches
NEW QUESTION # 97
UC has a variety of systems across its technology landscape, including SF, legacy enterprise resource planning (ERP) applications and homegrown CRM tools. UC has decided that they would like to consolidate all customer, opportunity and order data into Salesforce as part of its master data management (MDM) strategy.
What are the 3 key steps that a data architect should take when merging data from multiple systems into Salesforce? Choose 3 answers:
- A. Create new fields to store additional values from all the systems.
- B. Work with Stakeholders to define record and field survivorship rules
- C. Install a 3rd party AppExchange tool to handle the merger
- D. Analyze each system's data model and perform gap analysis
- E. Utilize an ETL tool to merge, transform and de-duplicate data.
Answer: B,D,E
Explanation:
The three key steps that a data architect should take when merging data from multiple systems into Salesforce are:
Analyze each system's data model and perform gap analysis. This step involves understanding the structure and meaning of the data in each system, identifying the common and unique data elements, and mapping the data fields between the systems. This step also involves assessing the quality and consistency of the data, and identifying any data cleansing or transformation needs.
Utilize an ETL tool to merge, transform, and de-duplicate data. This step involves using an ETL tool to connect to the source systems, extract the data, apply any data transformations or validations, and load the data into Salesforce. This step also involves applying de-duplication rules or algorithms to avoid creating duplicate records in Salesforce.
Work with stakeholders to define record and field survivorship rules. This step involves collaborating with the business users and owners of the data to determine which records and fields should be retained or overwritten in case of conflicts or discrepancies. This step also involves defining the criteria and logic for record and field survivorship, and implementing them in the ETL tool or in Salesforce.
Creating new fields to store additional values from all the systems is not a key step, but rather a possible outcome of the gap analysis. It may not be necessary or desirable to create new fields for every value from every system, as it may result in redundant or irrelevant data. Installing a 3rd party AppExchange tool to handle the merger is not a key step, but rather a possible option for choosing an ETL tool. It may not be the best option depending on the requirements, budget, and preferences of the organization.
NEW QUESTION # 98
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