The Salesforce Plat-Arch-201 certification exam is one of the hottest and career-oriented Salesforce Certified Platform Data Architect (Plat-Arch-201) exams. With the Salesforce Certified Platform Data Architect (Plat-Arch-201) exam you can validate your skills and upgrade your knowledge level. By doing this you can learn new in-demand skills and gain multiple career opportunities. To do this you just need to enroll in the Salesforce Plat-Arch-201 Certification Exam and put all your efforts to pass this important Salesforce Plat-Arch-201 Exam Questions.
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Migration | 15% | - Describe the considerations for data migration - Describe the tools and best practices for data migration - Describe the implications of data migration on data quality |
| Topic 2: Large Data Volumes | 20% | - Describe the features and best practices for LDV - Describe the considerations for Large Data Volumes (LDV) - Describe the implications of LDV on data modeling |
| Topic 3: Salesforce Data Management | 25% | - Describe the considerations for data migration - Describe the considerations for data archival - Describe the considerations for data governance - Describe the implications of LDV on data management |
| Topic 4: Master Data Management | 5% | - Describe the methods for aligning data across systems - Describe the considerations for a Master Data Management strategy |
| Topic 5: Data Governance | 10% | - Describe the considerations for data quality - Describe the considerations for data classification - Describe the elements of a data governance framework |
| Topic 6: Data Modeling/Database Design | 25% | - Describe the considerations when designing a data model for Salesforce - Explain the usage of external objects - Describe the implications of LDV on data modeling - Describe the options and considerations for Large Data Volumes (LDV) |
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NEW QUESTION # 105
Universal Containers has provided a web order form for its customer and has noticed invalid data coming in on orders. What should be used to mitigate this problem?
Answer: A
Explanation:
Using validation rules to mitigate this problem is the best option. Validation rules can help you prevent invalid data from being entered in your web order form. You can use validation rules to check for data quality, format, range, or consistency. For example, you can use validation rules to ensure that the order quantity is positive, the product code is valid, or the shipping address is complete.
NEW QUESTION # 106
Universal Containers (UC) is migrating from an on-premise homegrown customer relationship management (CRM) system. During analysis, UC users highlight a pain point that there are multiple versions of many customers. What should the data architect do for a successful migration to mitigate the pain point?
Answer: B
Explanation:
Storing the data in a staging database and de-duplicating identical records (option D) is the best solution for a successful migration to mitigate the pain point, as it allows the data architect to identify and merge duplicate customers before they are imported into Salesforce.
NEW QUESTION # 107
US has released a new disaster recovery (DR)policy that states that cloud solutions need a business continuity plan in place separate from the cloud providers built in data recovery solution.
Which solution should a data architect use to comply with the DR policy?
Answer: D
Explanation:
The best solution to comply with the DR policy is to leverage a 3rd party tool that extract Salesforce data/metadata and stores the information in an external protected system. This solution can help create a backup of Salesforce data and metadata in case of a disaster or data loss event. It can also help restore data from the backup system to Salesforce if needed. There are various 3rd party tools available in the AppExchange or online that offer data backup and recovery services for Salesforce. Leverage Salesforce weekly exports and store data in flat files on a protected system is not a good solution because it does not include metadata backup and it does not allow granular or automated data recovery. Utilize an ETL tool to migrate data to an on- premise archive solution is not a good solution because it does not include metadata backup and it may require complex data transformations and synchronizations. Write a custom batch job to extract data changes nightly and store in an external protected system is not a good solution because it does not include metadata backup and it may have performance or reliability issues.
NEW QUESTION # 108
What is a key cause of ownership data skew?
Answer: D
Explanation:
Ownership skew occurs when one user owns a large number of records, affecting performance.
NEW QUESTION # 109
A Customer is migrating 10 million order and 30 million order lines into Salesforce using Bulk API.
The Engineer is experiencing time-out errors or long delays querying parents order IDs in Salesforce before importing related order line items. What is the recommended solution?
Answer: C
Explanation:
Leverage an External ID from source system orders to import related order lines. This is the recommended solution because it allows you to use the upsert operation to match records based on the External ID field, which is indexed and unique. This avoids the need to query the parent order IDs in Salesforce before importing the order line items, which can cause time-out errors or long delays.
NEW QUESTION # 110
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