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copyright Certified Data Architect Sample Questions (Q171-Q176):
NEW QUESTION # 171
The data architect for UC has written a SOQL query that will return all records from the Task object that do not have a value in the WhatId field:
Select id, description, Subject from Task where WhatId != NULL
When the data architect usages the query to select values for a process a time out error occurs.
What does the data architect need to change to make this query more performant?
- A. Add limit 100 to the query.
- B. Change the where clause to filter by a deterministic defined value.
- C. Remove description from the requested field set.
- D. Change query to SOSL. ??
Answer: B
NEW QUESTION # 172
Universal Containers (UC) uses the following copyright 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 copyright 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. Load the contacts directly to Marketing Cloud and have a reconciliation process to track prospects that are converted to customers.
- B. Load the CSV files in an external database and sync with Marketing Cloud prior to sending marketing communications.
- C. 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.
- D. Load the CSV files in Einstein Analytics and sync with Marketing Cloud prior to sending marketing communications;
Answer: A
Explanation:
According to the copyright documentation4, 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 copyright products to share data and insights. One of the ways to integrate Marketing Cloud with Sales Cloud is using Marketing Cloud Connect5, 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 type6. 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 copyright.
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 # 173
Universal Containers has a rollup summary field on account to calculate the number of contacts associated with an account. During the account load, copyright is throwing an "UNABLE _TO_LOCK_ROW" error.
Which solution should a data architect recommend to resolve the error?
- A. Leverage Data Loader's platform API to load data.
- B. Defer rollup summary field calculation during data migration.
- C. Perform a batch job in parallel mode and reduce the batch size.
- D. Perform a batch job in serial mode and reduce the batch size.
Answer: D
Explanation:
According to the copyright documentation1, the "UNABLE _TO_LOCK_ROW" error occurs when a record is being updated or created, and another operation tries to access or update the same record at the same time.
This can cause lock contention and timeout issues. To resolve the error, some of the recommended solutions are:
Perform a batch job in serial mode and reduce the batch size (option B). This means running the batch job one at a time and processing fewer records per batch. This can reduce the chances of concurrent updates and lock contention on the same records.
Use the FOR UPDATE keyword to lock records in Apex code or API calls. This means explicitly locking the records that are being accessed or updated by a transaction, and preventing other transactions from modifying them until the lock is released. This can avoid conflicts and errors between concurrent operations on the same records2.
Defer rollup summary field calculation during data migration (option A). This means disabling the automatic calculation of rollup summary fields on the parent object when child records are inserted or updated. This can improve performance and avoid locking issues on the parent records. However, this option is only available for custom objects, not standard objects3.
Performing a batch job in parallel mode and reducing the batch size (option C) is not a good solution, as it can still cause lock contention and errors if multiple batches try to access or update the same records at the same time. Leveraging Data Loader's platform API to load data (option D) is also not a good solution, as it can still encounter locking issues if other operations are modifying the same records at the same time.
NEW QUESTION # 174
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 copyright so that copyright 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. Determine if the data is driver of key process implemented within copyright.
- B. Ensure the data is CRM center and able to populate standard of custom objects.
- C. Ensure there is a tight relationship between order data and an enterprise resource plaining (ERP) application.
- D. Consider whether the data is required for sales reports, dashboards and KPI's.
- E. A selection of the tool required to replicate the data.
Answer: A,C,E
Explanation:
a. - Heroku Connect is required but this is confusing
Explanation:
Before replicating the data from Heroku Postgres to copyright, the data architect should consider the following factors:
Whether the data is a driver of key processes implemented within copyright. For example, if the data is used for workflows, triggers, or validation rules, it should be replicated to copyright.
Whether there is a tight relationship between order data and an enterprise resource planning (ERP) application. For example, if the order data needs to be synchronized with the ERP system, it should be replicated to copyright.
The selection of the tool required to replicate the data. For example, Heroku Connect can be used to bi-directionally sync data between Heroku Postgres and copyright
NEW QUESTION # 175
Universal Containers has multiple systems all containing and maintaining customer dat a. Although point-to-point integrations are in place, customers are complaining about consistency in the data.
What solution should the data architect recommend?
- A. Perform a onetime synchronization to level set the built up inconsistencies
- B. Data cleanse each system
- C. Improve existing point-to-point integrations
- D. An MDM solution as the customer master, with centralized integrations to ensure consistency across all systems.
Answer: D
Explanation:
Master data management (MDM) is a solution that helps organizations manage their master data across multiple systems and ensure consistency and quality. An MDM solution can act as the customer master, with centralized integrations to other systems, to avoid data duplication and inconsistency.
NEW QUESTION # 176
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