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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Migration | 15% | - Migration strategy and planning
|
| Topic 2: Large Data Volumes and Performance | 20% | - LDV architecture design
|
| Topic 3: Master Data Management | 5% | - Golden record and system of truth
|
| Topic 4: Data Governance, Quality and Security | 15% | - Data governance framework
|
| Topic 5: Data Integration | 20% | - External data sources
|
| Topic 6: Data Modeling and Database Design | 25% | - Data model design for Customer 360
|
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NEW QUESTION # 171
Universal Containers (UC) plans to implement consent management for its customers to be compliant with General Data Protection Regulation (GDPR). UC has the following requirements:
- UC uses Person Accounts and Contacts in Salesforce for its customers.
- Data Protection and Privacy is enabled in Salesforce.
- Consent should be maintained in both these objects.
- UC plans to verify the consent provided by customers before
contacting them through email or phone.
Which option should the data architect recommend to implement these requirements?
Answer: A
Explanation:
Using the Consent Management Feature to validate consent provided under the person Account and Contact that is provided by the customer (option C) is the best option to implement these requirements, as it allows UC to store and manage consent preferences for Person Accounts and Contacts using native Salesforce features and tools.
NEW QUESTION # 172
Get Cloud Consulting needs to integrate two different systems with customer records into the Salesforce Account object. So that no duplicate records are created in Salesforce, Master Data Management will be used. An Architect needs to determine which system is the system of record on a field level. What should the Architect do to achieve this goal?
Answer: D
Explanation:
Key stakeholders from both systems should collaborate with the Architect to determine which system is the system of record on a field level is what the Architect should do to achieve this goal of integrating two different systems with customer records into the Salesforce Account object using Master Data Management. The system of record is the authoritative source of truth for a given entity or field in a given context. Different systems may have different levels of accuracy, completeness, timeliness, or relevance for different fields. Therefore, it is important to involve key stakeholders from both systems who have knowledge and expertise about their data quality and business needs to decide which system should be the system of record for each field. The Architect should facilitate this collaboration and document the decisions and rationale for each field. The other options are not correct or feasible, as they would either delegate or abdicate the responsibility of determining the system of record, ignore or disregard the input from key stakeholders, or assume or impose a default system of record without considering the data quality and business needs.
NEW QUESTION # 173
DreamHouse Realty has an integration that creates records in a Salesforce Custom Object. The Custom Object has a field marked as required on the page layout. DreamHouse Realty has noticed that many of the records coming from the external system are missing data in this field.
The Architect needs to ensure this field always contains data coming from the source system.
Which two approaches should the Architect take? Choose 2 answer
Answer: A,B
Explanation:
Setting up a Validation Rule to prevent blank values and marking the field required in setup at the field level are two approaches that the Architect should take to ensure that the field always contains data coming from the source system. A Validation Rule can display an error message when a record is created or edited with a blank value for the field, and prevent it from being saved. Marking the field required in setup at the field level can enforce the requirement for all records, regardless of the page layout or the source system. The other options are not effective or recommended for ensuring data quality, as they would either not prevent blank values, not apply to all records, or not address the root cause of the problem
NEW QUESTION # 174
Universal Containers (UC) has implemented Salesforce, UC is running out of storage and needs to have an archiving solution, UC would like to maintain two years of data in Saleforce and archive older data out of Salesforce. Which solution should a data architect recommend as an archiving solution?
Answer: D
Explanation:
The data architect should recommend building a batch job to move two-year-old records off platform, and delete records from Salesforce as an archiving solution. A batch job is a process that runs in the background and performs operations on large volumes of data in Salesforce. By building a batch job that moves two-year-old records off platform to an external storage system, such as Amazon S3 or Google Cloud Storage, and deletes them from Salesforce, the data architect can reduce the storage consumption and improve the performance of Salesforce org.
NEW QUESTION # 175
NTO need to extract 50 million records from a custom object everyday from its Salesforce org.
NTO is facing query timeout issues while extracting these records. What should a data architect recommend in order to get around the time out issue?
Answer: D
Explanation:
The best solution to extract 50 million records from a custom object everyday from Salesforce org without facing query timeout issues is to use an ETL tool for extraction of records. ETL stands for extract, transform, and load, and it refers to a process of moving data from one system to another. An ETL tool is a software application that can connect to various data sources, perform data transformations, and load data into a target destination. ETL tools can handle large volumes of data efficiently and reliably, and they often provide features such as scheduling, monitoring, error handling, and logging. Using a custom auto number and formula field and use that to chunk records while extracting data is a possible workaround, but it requires creating additional fields and writing complex queries. The REST API can extract data as it automatically chunks records by 200, but it has some limitations, such as a maximum of 50 million records per query job.
Asking SF support to increase the query timeout value is not feasible because query timeout values are not configurable
NEW QUESTION # 176
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