시험패스가능한Plat-Arch-201덤프최신자료덤프최신샘플문제

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Salesforce Plat-Arch-201 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Data Governance, Quality and Security | 15% | - Data quality management
- 1. Profiling, monitoring, cleansing and enrichment
- Data security and compliance
- 1. Access control, encryption, compliance and audit
- Data governance framework
- 1. Policies, standards, ownership and stewardship
|
| Data Integration | 20% | - Data synchronization and consistency
- 1. Conflict resolution, data consistency and idempotency
- Integration patterns and technologies
- 1. APIs, middleware and external systems integration
- 2. Synchronous vs asynchronous, batch vs real-time
- External data sources
- 1. External Objects, OData and virtual data access
|
| Master Data Management | 5% | - Golden record and system of truth
- 1. Establishing single source of truth in single org
- MDM implementation approaches
- 1. Harmonization, consolidation, survivorship rules and thresholds
- 2. Canonical modeling and hierarchy management
|
| Data Modeling and Database Design | 25% | - Object type selection
- 1. Standard/custom objects vs Big Objects: use cases, pros and cons
- Data skew prevention
- 1. Avoid record locking, sharing issues and excessive parent-child relationships
- Metadata management
- 1. Business dictionary, data lineage, taxonomy and classification
- Data model design for Customer 360
- 1. Scalable design aligned with security and sharing model
- 2. Objects, fields, relationships and object features
|
| Data Migration | 15% | - Migration execution and tools
- 1. Data loader, ETL tools and bulk API usage
- Migration strategy and planning
- 1. Assessment, mapping, validation and rollback planning
- Data quality and validation
- 1. Cleaning, deduplication and post-migration verification
|
| Large Data Volumes and Performance | 20% | - Query and performance optimization
- 1. Indexing, selective queries and avoiding performance bottlenecks
- Storage and scalability planning
- 1. Data volume growth planning and storage limits
- LDV architecture design
- 1. Data distribution, archiving and partitioning strategies
|
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최신 Application Architect Plat-Arch-201 무료샘플문제 (Q63-Q68):
질문 # 63
UC needs to load a large volume of leads into salesforce on a weekly basis. During this process the validation rules are disabled. What should a data architect recommend to ensure data quality is maintained in salesforce.
- A. Develop custom APEX batch process to improve quality once the load is completed.
- B. Activate validation rules once the leads are loaded into salesforce to maintain quality.
- C. Ensure the lead data is preprocessed for quality before loading into salesforce.
- D. Allow validation rules to be activated during the load of leads into salesforce.
정답:C
설명:
Ensuring the lead data is preprocessed for quality before loading into Salesforce is the best way to maintain data quality. Activating validation rules after the load or developing a custom Apex batch process may not catch all the errors or may require additional time and resources. Allowing validation rules to be activated during the load may cause failures or delays.
질문 # 64
Universal Containers (UC) provides shipping services to its customers. They use Opportunities to track customer shipments. At any given time, shipping status can be one of the 10 values. UC has 200,000 Opportunity records. When creating a new field to track shipping status on opportunity, what should the architect do to improve data quality and avoid data skew?
- A. Create a Master -Detail to custom object ShippingStatus c.
- B. Create a picklist field, values sorted alphabetically.
- C. Create a Lookup to custom object ShippingStatus c.
- D. Create a text field and make it an external ID.
정답:B
설명:
To improve data quality and avoid data skew, the data architect should create a picklist field with values sorted alphabetically for tracking shipping status on opportunity. A picklist field ensures that only valid values are entered and prevents typos or variations in spelling. Sorting the values alphabetically makes it easier for users to find and select the correct value. Data skew occurs when a large number of records are owned by a single user or have a single value for a field.
Creating a picklist field with a limited number of values does not cause data skew, as long as the distribution of values is balanced and not skewed towards one value.
질문 # 65
Universal Containers would like to remove data silos and connect their legacy CRM together with their ERP and with Salesforce. Most of their sales team has already migrated to Salesforce for daily use, although a few users are still on the old CRM until some functionality they require is completed. Which two techniques should be used for smooth interoperability now and in the future?
- A. Replicate ongoing changes in the legacy CRM to Salesforce to facilitate a smooth transition when the legacy CRM is eventually retired.
- B. Do not connect Salesforce and the legacy CRM to each other during this transition period, but do allow both to interact with the ERP.
- C. Specify the legacy CRM as the system of record during transition until it is removed from operation and fully replaced by Salesforce.
- D. Work with stakeholders to establish a Master Data Management plan for the system of record for specific objects, records, and fields.
정답:C,D
설명:
Specify the legacy CRM as the system of record during transition until it is removed from operation and fully replaced by Salesforce. This is a good technique to ensure data consistency and avoid conflicts between the two systems. Work with stakeholders to establish a Master Data Management plan for the system of record for specific objects, records, and fields. This is another good technique to define the data governance and stewardship policies and processes for managing data quality and integrity across multiple systems.
질문 # 66
An Architect needs information about who is creating, changing, or deleting certain fields within the past four months. How can the Architect access this information?
- A. Create a field history report for the fields in question.
- B. After exporting the metadata, search it for the fields in question.
- C. After exporting the setup audit trail, find the fields in question.
- D. Remove "customize application" permissions from everyone else.
정답:C
설명:
Exporting the setup audit trail can provide information about who is creating, changing, or deleting certain fields within the past four months. The setup audit trail tracks the recent setup changes that administrators and other users have made to the organization. The setup audit trail history shows up to 20 most recent changes in the Setup area, but administrators can download a report (in CSV format) of up to six months of setup history.
질문 # 67
Universal Containers has a rollup summary field on account to calculate the number of contacts associated with an account. During the account load, Salesforce is throwing an "UNABLE
_TO_LOCK_ROW" error. Which solution should a data architect recommend to resolve the error?
- A. Defer rollup summary field calculation during data migration.
- B. Leverage Data Loader's platform API to load data.
- 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.
정답:D
설명:
According to the Salesforce documentation, 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 records.
질문 # 68
......
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