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Salesforce Certified Data Architect Practice Test - Questions Answers, Page 20

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Question 191

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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?

Remove description from the requested field set.
Remove description from the requested field set.
Change query to SOSL.
Change query to SOSL.
Add limit 100 to the query.
Add limit 100 to the query.
Change the where clause to filter by a deterministic defined value.
Change the where clause to filter by a deterministic defined value.
Suggested answer: D

Explanation:

According to the Salesforce documentation, SOQL is a query language that allows querying data from Salesforce objects and fields. SOQL queries have various clauses and operators that can be used to filter and sort the results. However, some clauses and operators can affect the performance of SOQL queries by increasing the cost or complexity of executing them.

To make this query more performant, a data architect should change the where clause to filter by a deterministic defined value (option D). This means using a filter condition that specifies a concrete value or range of values for a field, such as WhatId = '001xx000003DGg3' or WhatId IN ('001xx000003DGg3', '001xx000003DGg4'). This can improve the performance of the query by reducing the number of records that need to be scanned and returned. A deterministic defined value can also leverage an index on the field, which can speed up the query execution.

Removing description from the requested field set (option A) is not a good solution, as it can affect the functionality or usability of the query. The description field may contain important or relevant information that is needed for the process. Changing the query to SOSL (option B) is also not a good solution, as SOSL is a different query language that allows searching text fields across multiple objects. SOSL queries have different syntax and limitations than SOQL queries, and may not return the same results or performance. Adding limit 100 to the query (option C) is also not a good solution, as it can affect the completeness or accuracy of the query. The limit clause specifies the maximum number of records that can be returned by the query, which may not include all the records that match the filter condition.

asked 23/09/2024
Jeff Sonola
35 questions

Question 192

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Universal Containers (UC) is in the process of migrating legacy inventory data from an enterprise resources planning (ERP) system into Sales Cloud with the following requirements:

Legacy inventory data will be stored in a custom child object called Inventory_c.

Inventory data should be related to the standard Account object.

The Inventory object should Invent the same sharing rules as the Account object.

Anytime an Account record is deleted in Salesforce, the related Inventory_c record(s) should be deleted as well.

What type of relationship field should a data architect recommend in this scenario?

Master-detail relationship filed on Account, related to Inventory_c
Master-detail relationship filed on Account, related to Inventory_c
Master-detail relationship filed on Inventory_c, related to Account
Master-detail relationship filed on Inventory_c, related to Account
Indirect lookup relationship field on Account, related to Inventory_c
Indirect lookup relationship field on Account, related to Inventory_c
Lookup relationship fields on Inventory related to Account
Lookup relationship fields on Inventory related to Account
Suggested answer: B

Explanation:

According to the Salesforce documentation, a relationship field is a field that allows linking one object to another object in Salesforce. There are different types of relationship fields that have different characteristics and behaviors, such as master-detail, lookup, indirect lookup, external lookup, etc.

To recommend a type of relationship field for this scenario, where legacy inventory data will be stored in a custom child object called Inventory__c, inventory data should be related to the standard Account object, the Inventory__c object should inherit the same sharing rules as the Account object, and anytime an Account record is deleted in Salesforce, the related Inventory__c record(s) should be deleted as well, a data architect should recommend:

Master-detail relationship field on Inventory__c, related to Account (option B). This means creating a field on the Inventory__c object that references the Account object as its parent. A master-detail relationship field establishes a parent-child relationship between two objects, where the parent object controls certain behaviors of the child object. For example, a master-detail relationship field can:

Inherit the sharing and security settings from the parent object to the child object. This means that the users who can access and edit the parent record can also access and edit the related child records.

Cascade delete from the parent object to the child object. This means that when a parent record is deleted, all the related child records are also deleted.

Roll up summary fields from the child object to the parent object. This means that the parent object can display aggregated information from the child records, such as count, sum, min, max, or average.

Master-detail relationship field on Account, related to Inventory__c (option A) is not a good solution, as it reverses the direction of the relationship. This means creating a field on the Account object that references the Inventory__c object as its parent. This is not possible, as a standard object cannot be on the detail side of a master-detail relationship. Indirect lookup relationship field on Account, related to Inventory__c (option C) is also not a good solution, as it is a special type of relationship field that allows linking a custom object to a standard object on an external system using an indirect reference. This is not applicable for this scenario, as both objects are in Salesforce and do not need an external reference. Lookup relationship field on Inventory__c related to Account (option D) is also not a good solution, as it establishes a looser relationship between two objects than a master-detail relationship. A lookup relationship field does not inherit sharing and security settings from the parent object to the child object, does not cascade delete from the parent object to the child object, and does not roll up summary fields from the child object to the parent object.

asked 23/09/2024
ahmed kehli
34 questions

Question 193

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A customer wants to maintain geographic location information including latitude and longitude in a custom object. What would a data architect recommend to satisfy this requirement?

Create formula fields with geolocation function for this requirement.
Create formula fields with geolocation function for this requirement.
Create custom fields to maintain latitude and longitude information
Create custom fields to maintain latitude and longitude information
Create a geolocation custom field to maintain this requirement
Create a geolocation custom field to maintain this requirement
Recommend app exchange packages to support this requirement.
Recommend app exchange packages to support this requirement.
Suggested answer: C

Explanation:

The correct answer is C, create a geolocation custom field to maintain this requirement. A geolocation custom field is a compound field that can store both latitude and longitude information in a single field. It also supports geolocation functions and distance calculations. Creating formula fields or custom fields for latitude and longitude separately would be inefficient and redundant. Recommending app exchange packages would not be a direct solution to the requirement.

asked 23/09/2024
Michael Serda
36 questions

Question 194

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As part of addressing general data protection regulation (GDPR) requirements, UC plans to implement a data classification policy for all its internal systems that stores customer information including salesforce.

What should a data architect recommend so that UC can easily classify consumer information maintained in salesforce under both standard and custom objects?

Use App Exchange products to classify fields based on policy.
Use App Exchange products to classify fields based on policy.
Use data classification metadata fields available in field definition.
Use data classification metadata fields available in field definition.
Create a custom picklist field to capture classification of information on customer.
Create a custom picklist field to capture classification of information on customer.
Build reports for customer information and validate.
Build reports for customer information and validate.
Suggested answer: B

Explanation:

The correct answer is B, use data classification metadata fields available in field definition. Data classification metadata fields are standard fields that allow you to classify the sensitivity level of your data based on your organization's policies. You can use these fields to indicate whether a field contains confidential, restricted, or general data. These fields are available for both standard and custom objects in Salesforce. Using app exchange products, creating a custom picklist field, or building reports would not be as effective or consistent as using data classification metadata fields.

asked 23/09/2024
Maxwell Konetzki
29 questions

Question 195

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Northern Trail Outfitters has these simple requirements for a data export process:

File format should be in CSV.

Process should be scheduled and run once per week.

The expert should be configurable through the Salesforce UI.

Which tool should a data architect leverage to accomplish these requirements?

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Question 196

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UC is planning a massive SF implementation with large volumes of dat

a. As part of the org's implementation, several roles, territories, groups, and sharing rules have been configured. The data architect has been tasked with loading all of the required data, including user data, in a timely manner.

What should a data architect do to minimize data load times due to system calculations?

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Question 197

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UC has the following system:

Billing system.

Customer support system.

CRM system.

US has been having trouble with business intelligence across the different systems. Recently US implemented a master data management (MDM) solution that will be the system of truth for the customer records.

Which MDM data element is needed to allow reporting across these systems?

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Question 198

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Universal Container is using Salesforce for Opportunity management and enterprise resource planning (ERP) for order management. Sales reps do not have access to the ERP and have no visibility into order status.

What solution a data architect recommends to give the sales team visibility into order status?

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Question 199

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Universal Containers (UC) is transitioning from Classic to Lightning Experience.

What does UC need to do to ensure users have access to its notices and attachments in Lightning Experience?

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Question 200

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Universal Container has implemented Sales Cloud to manage patient and related health records. During a recent security audit of the system, it was discovered that same standard and custom fields need to encrypted.

Which solution should a data architect recommend to encrypt existing fields?

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