Data-Architect최신덤프자료, Data-Architect최신시험기출문제

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Salesforce Data-Architect Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Topic 1: Large Data Volume Considerations | 20% | - Storage and optimization
- 1. Archiving and off-platform storage
- 2. Storage limits and management
- 3. Performance tuning techniques
- Performance and scalability
- 1. Avoiding and resolving data skew
- 2. Handling millions of records
- 3. Governor limits and bulk processing
|
| Topic 2: Salesforce Data Management | 25% | - Sharing and visibility design
- 1. Organization-wide defaults, role hierarchy
- 2. Data access and security model
- 3. Sharing rules, manual sharing, Apex sharing
- Data import and export strategies
- 1. Tools: Data Loader, Import Wizard, Bulk API
- 2. Data validation and cleansing
- 3. Migration planning and execution
|
| Topic 3: Data Integration and Master Data Management | 10% | - Integration patterns and tools
- 1. External data sources and objects
- 2. Real-time vs batch integration
- 3. REST, SOAP, and Bulk API usage
- Master data management
- 1. Data synchronization and consistency
- 2. MDM strategy and implementation
- 3. Single source of truth design
|
| Topic 4: Data Modeling and Database Design | 25% | - Indexing and data structure
- 1. Query optimization strategies
- 2. Standard and custom indexes
- 3. Skinny tables and big objects
- Design scalable data models
- 1. Custom and standard object design
- 2. Data model optimization for performance
- 3. Object relationships and cardinality
|
| Topic 5: Data Governance and Compliance | 20% | - Data lifecycle management
- 1. Data retention and archiving policies
- 2. Data privacy and security
- 3. Data classification and handling
- Data governance framework
- 1. Data quality standards
- 2. Compliance and regulatory requirements
- 3. Data stewardship and ownership
|
>> Data-Architect최신덤프자료 <<
Data-Architect최신 시험기출문제 & Data-Architect인기자격증 최신시험 덤프자료
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최신 Salesforce Application Architect Data-Architect 무료샘플문제 (Q165-Q170):
질문 # 165
A large retail company has recently chosen SF as its CRM solution. They have the following record counts:
2500000 accounts
25000000 contacts
When doing an initial performance test, the data architect noticed an extremely slow response for reports and list views.
What should a data architect do to solve the performance issue?
- A. Add custom indexes on frequently searched account and contact objects fields
- B. Load only the data that the users is permitted to access
- C. Create a skinny table to represent account and contact objects.
- D. Limit data loading to the 2000 most recently created records.
정답:A
질문 # 166
Universal Containers (UC) wants to store product data in Salesforce, but the standard Product object does not support the more complex hierarchical structure which is currently being used in the product master system.
How can UC modify the standard Product object model to support a hierarchical data structure in order to synchronize product data from the source system to Salesforce?
- A. Create a custom lookup field on the standard Product to reference the parent record in the hierarchy.
- B. Create an Apex trigger to synchronize the Product Family standard picklist field on the Product object.
- C. Create a custom lookup filed on the standard Product to reference the child record in the hierarchy.
- D. Create a custom master-detail field on the standard Product to reference the child record in the hierarchy.
정답:A
설명:
Creating a custom lookup field on the standard Product to reference the parent record in the hierarchy is the correct way to modify the standard Product object model to support a hierarchical data structure. This allows UC to create a self-relationship on the Product object and define parent-child relationships among products.
질문 # 167
A consumer products company has decided to use Salesforce for its contact center. The contact center agents need access to the following information in Service Console when a customer contacts them:
1. Customer browsing activity on its website stored on its on premise system
2. Customer interactions with sales associates at its retail stores maintained in Salesforce
3. Contact center interactions maintained in Salesforce
4. Email campaign activity to customer from its marketing systems.
What should a data architect do to fulfill these requirements with minimum development effort in Salesforce?
- A. Use Salesforce Connect to integrate the website and the marketing system into Service Console using external objects.
- B. Build customer view in Service Console with components that show website data and marketing data as mashup.
- C. Build custom components in Service Console to bring information from the marketing and website information.
- D. Create web tabs in Service Console to show website and marketing activities.
정답:B
설명:
Building a customer view in Service Console with components that show website data and marketing data as mashup is the best option to fulfill the requirement with minimum development effort in Salesforce. A mashup is a technique that combines data from different sources into a single user interface. You can use Visualforce pages or Lightning components to create mashups that display data from external systems such as your website and marketing system. This way, you can provide your contact center agents with a comprehensive view of the customer information they need.
질문 # 168
Universal Containers would like to have a Service-Level Agreement (SLA) of 1 day for any data loss due to unintentional or malicious updates of records in Salesforce. What approach should be suggested to address this requirement?
- A. Schedule a Weekly Extract Service for key objects and extract data in XL sheets to on-premise systems.
- B. Evaluate a third-party AppExchange app, such as OwnBackup or Spanning, etc., for backup and archival purposes.
- C. Build a daily extract job and extract data to on-premise systems for long-term backup and archival purposes.
- D. Store all data in shadow custom objects on any updates and deletes, and extract them as needed .
정답:B
질문 # 169
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?
- A. Build a batch join to move two-year-old records off platform, and delete records from Salesforce.
- B. Use a third-party backup solution to backup all data off platform.
- C. Build a batch join move all records off platform, and delete all records from Salesforce.
- D. Build a batch job to move all restore off platform, and delete old records from Salesforce.
정답:A
설명:
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. Option A is incorrect because using a third-party backup solution to backup all data off platform will not free up any storage space in Salesforce, unless the data is also deleted from Salesforce after backup. Option B is incorrect because building a batch job to move all records off platform, and delete all records from Salesforce will result in losing all the current data in Salesforce, which may not be desirable or feasible. Option D is incorrect because building a batch job to move all restore off platform, and delete old records from Salesforce does not make sense, as restore implies restoring data back to Salesforce, not moving it off platform.
질문 # 170
......
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