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Salesforce Certified Data Architect Sample Questions (Q31-Q36):
NEW QUESTION # 31
Universal Containers (UC) owns several Salesforce orgs across a variety of business units. UC management has declared that it needs the ability to report on Accounts and Opportunities from each org in one place. Once the data is brought together into a global view, management would like to use advanced Al-driven analytics on the dataset.
Which tool should a data architect recommend to accomplish this reporting requirement?
- A. Write a Python script to aggregate and visualize the data.
- B. Install a third-party AppExchange tool for multi-org reporting.
- C. Run standard reports and dashboards.
- D. Use Einstein Analytics for multi-org.
Answer: D
Explanation:
According to this article, Einstein Analytics for multi-org can help UC to report on accounts and opportunities from each org in one place. It can also provide advanced AI-driven analytics on the dataset using Einstein Discovery.
NEW QUESTION # 32
Universal Containers (UC) uses the following Salesforce products:
Sales Cloud for customer management.
Marketing Cloud for marketing.
Einstein Analytics for business reporting.
UC occasionally gets a list of prospects from third-party source as comma-separated values (CSV) files for marketing purposes. Historically, UC would load contact Lead object in Salesforce and sync to Marketing Cloud to send marketing communications. The number of records in the Lead object has grown over time and has been consuming large amounts of storage in Sales Cloud, UC is looking for recommendations to reduce the storage and advice on how to optimize the marketing Cloud to send marketing communications. The number of records in the Lead object has grown over time and has been consuming large amounts of storage in Sales Cloud, UC is looking for recommendations to reduce the storage and advice on how to optimize the marketing process.
What should a data architect recommend to UC in order to immediately avoid storage issues in the future?
- A. Continue to use the existing process to use Lead object to sync with Marketing Cloud and delete Lead records from Sales after the sync is complete.
- B. Load the contacts directly to Marketing Cloud and have a reconciliation process to track prospects that are converted to customers.
- C. Load the CSV files in an external database and sync with Marketing Cloud prior to sending marketing communications.
- D. Load the CSV files in Einstein Analytics and sync with Marketing Cloud prior to sending marketing communications;
Answer: B
Explanation:
According to the Salesforce documentation 4 , Marketing Cloud is a platform that allows creating and managing marketing campaigns across multiple channels, such as email, mobile, social media, web, etc.
Marketing Cloud can integrate with Sales Cloud and other Salesforce products to share data and insights. One of the ways to integrate Marketing Cloud with Sales Cloud is using Marketing Cloud Connect 5 , which allows syncing data between the two platforms using synchronized data sources.
However, if UC occasionally gets a list of prospects from third-party sources as CSV files for marketing purposes, it may not be necessary or efficient to load them into Sales Cloud first and then sync them with Marketing Cloud. This can consume large amounts of storage in Sales Cloud, which has a limit based on the license type 6 . It can also cause data quality issues, such as duplicates or outdated information.
A better option for UC is to load the contacts directly to Marketing Cloud using Import Definition, which allows importing data from external files or databases into Marketing Cloud data extensions. Data extensions are custom tables that store marketing data in Marketing Cloud. This way, UC can avoid storage issues in Sales Cloud and optimize the marketing process by sending marketing communications directly from Marketing Cloud.
To track prospects that are converted to customers, UC can have a reconciliation process that compares the contacts in Marketing Cloud with the accounts or contacts in Sales Cloud. This can be done using SQL queries or API calls to access and compare data from both platforms. Alternatively, UC can use Marketing Cloud Connect to sync the converted contacts from Sales Cloud to Marketing Cloud using synchronized data sources.
Loading the CSV files in Einstein Analytics and syncing with Marketing Cloud prior to sending marketing communications (option A) is not a good option, as it can add unnecessary complexity and latency to the process. Einstein Analytics is a platform that allows creating and analyzing data using interactive dashboards and reports. It is not designed for importing and exporting data for marketing purposes.
Loading the CSV files in an external database and syncing with Marketing Cloud prior to sending marketing communications (option B) is also not a good option, as it can incur additional costs and maintenance for the external database. It can also introduce data security and privacy risks, as the data may not be encrypted or protected by Salesforce.
Continuing to use the existing process to use Lead object to sync with Marketing Cloud and delete Lead records from Sales after the sync is complete (option D) is not a good option, as it can cause performance issues and data loss. Deleting Lead records from Sales can affect reporting and auditing, as well as trigger workflows and validations that may not be intended. It can also cause data inconsistency and synchronization errors between Sales Cloud and Marketing Cloud.
NEW QUESTION # 33
Universal Containers (UC) has implemented a master data management strategy, which uses a central system of truth, to ensure the entire company has the same customer information in all systems. UC customer data changes need to be accurate at all times in all of the systems. Salesforce is the identified system of record for this information.
What is the correct solution for ensuring all systems using customer data are kept up to date?
- A. Send customer record changes from Salesforce to each system in a nightly batch job.
- B. Send customer data nightly to the system of truth in a scheduled batch job.
- C. Send customer record changes from Salesforce to the system of truth in real time.
- D. Have each system pull the record changes from Salesforce using change data capture.
Answer: C
Explanation:
Having each system pull the record changes from Salesforce using change data capture (option D) is the correct solution for ensuring all systems using customer data are kept up to date, as it allows the systems to subscribe to real-time events from Salesforce and receive notifications when customer records are created, updated, deleted, or undeleted. Sending customer data nightly to the system of truth in a scheduled batch job (option A) or sending customer record changes from Salesforce to each system in a nightly batch job (option B) are not good solutions, as they may cause data latency and inconsistency, and they do not provide real-time updates. Sending customer record changes from Salesforce to the system of truth in real time (option C) is also not a good solution, as it does not address how the other systems will receive the updates from the system of truth.
NEW QUESTION # 34
Universal Containers has a large volume of Contact data going into Salesforce.com. There are 100,000 existing contact records. 200,000 new contacts will be loaded. The Contact object has an external ID field that is unique and must be populated for all existing records. What should the architect recommend to reduce data load processing time?
- A. Load Contact records together using the Streaming API via the Upsert operation.
- B. Load all records via the Upsert operation to determine new records vs. existing records.
- C. Delete all existing records, and then load all records together via the Insert operation.
- D. Load new records via the Insert operation and existing records via the Update operation.
Answer: D
Explanation:
Loading new records via the Insert operation and existing records via the Update operation will allow using the external ID field as a unique identifier and avoid any duplication or overwriting of records. This is faster and safer than deleting all existing records or using the Upsert operation, which might cause conflicts or errors .
NEW QUESTION # 35
A shipping and logistics company has created a large number of reports within Sales Cloud since Salesforce was introduced. Some of these reports analyze large amounts of data regarding the whereabouts of the company's containers, and they are starting to time out when users are trying to run the reports. What is a recommended approach to avoid these time-out issues?
- A. Improve reporting performance by creating a custom Visualforce report that is using a cache of the records in the report.
- B. Improve reporting performance by replacing the existing reports in Sales Cloud with new reports based on Analytics Cloud.
- C. Improve reporting performance by creating an Apex trigger for the Report object that will pre-fetch data before the report is run.
- D. Improve reporting performance by creating a dashboard that is scheduled to run the reports only once per day.
Answer: B
NEW QUESTION # 36
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