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| Section | Weight | Objectives |
|---|---|---|
| Data Architecture | 20% | - Archiving and data lifecycle management - Architecture patterns and design principles - Performance tuning and optimization - Governor limits and bulk processing |
| Data Governance | 20% | - Data stewardship roles and responsibilities - Data quality standards and metrics - Data retention and archiving policies - Compliance and regulatory considerations |
| Data Integration | 15% | - API-based integration (REST, SOAP, Bulk API) - Real-time vs batch integration patterns - Handling locks and parallelism during migration - Sharing rules impact on data integration - ETL tools and data migration strategies |
| Master Data Management | 20% | - Identity resolution - Data duplication and matching rules - Data cleansing techniques |
| Data Modeling | 25% | - Large Data Volumes (LDV) design considerations - Skinny tables for performance optimization - Normalization and denormalization strategies - Indexing strategies - Big Objects and external objects |
>> Data-Architect Original Questions <<
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NEW QUESTION # 158
DreamHouse Realty has a Salesforce deployment that manages Sales, Support, and Marketing efforts in a multi-system ERP environment. The company recently reached the limits of native reports and dashboards and needs options for providing more analytical insights.
What are two approaches an Architect should recommend? (Choose two.)
Answer: A,D
Explanation:
Einstein Analytics can provide more analytical insights than native reports and dashboards by allowing users to explore data from multiple sources, create interactive visualizations, and apply AI-powered features 5
. AppExchange Apps can also provide more analytical insights by offering pre-built solutions or integrations with external tools that can enhance the reporting and analytics capabilities of Salesforce 6 .
NEW QUESTION # 159
During the implementation of Salesforce, a customer has the following requirements for Sales Orders:
1. Sales Order information needs to be shown to users in Salesforce.
2. Sales Orders are maintained in the on-premises enterprise resource planning (ERP).
3. Sales Order information has more than 150 million records.
4. Sales Orders will not be updated in Salesforce.
What should a data architect recommend for maintaining Sales Orders in salesforce?
Answer: D
Explanation:
Using external objects to maintain Sales Order in Salesforce is the best recommendation for maintaining Sales Orders in Salesforce, as it allows users to access large volumes of data stored outside Salesforce without copying or synchronizing it. Using custom objects, custom big objects, or standard order object may not be feasible or optimal for storing more than 150 million records that will not be updated in Salesforce.
NEW QUESTION # 160
To avoid creating duplicate Contacts, a customer frequently uses Data Loader to upsert Contact records into Salesforce. What common error should the data architect be aware of when using upsert?
Answer: B
Explanation:
Data Loader uses external Id fields to match records in the CSV file with records in Salesforce during an upsert operation. If the CSV file contains duplicate external Id values within the same file, Data Loader will throw an error saying "Duplicate Id Specified" and will not process those records. Therefore, it is important to ensure that the CSV file does not have any duplicate external Id values before using Data Loader to upsert records.
NEW QUESTION # 161
UC has a classic encryption for Custom fields and is leveraging weekly data reports for data backups. During the data validation of exported data UC discovered that encrypted field values are still being exported as part of data exported. What should a data architect recommend to make sure decrypted values are exported during data export?
Answer: A
Explanation:
The best solution to make sure decrypted values are exported during data export is to create another field to copy data from encrypted field and use this field in export. This is because classic encryption does not support exporting decrypted values of encrypted fields. The view encrypted data permission only allows users to view decrypted values in the user interface, but not in reports or data exports. Therefore, a workaround is to create a formula field or a workflow field update that copies the value of the encrypted field to another field, and use that field for data export. However, this solution has some drawbacks, such as exposing sensitive data in plain text and consuming extra storage space. A better solution would be to use Shield Platform Encryption, which supports exporting decrypted values of encrypted fields with the Export Encrypted Data permission
NEW QUESTION # 162
Universal Containers is exporting 40 million Account records from Salesforce using Informatica Cloud. The ETL tool fails and the query log indicates a full table scan time-out failure. What is the recommended solution?
Answer: C
Explanation:
The Sforce-Enable-PKChunking header enables you to extract large data sets from Salesforce by using a technique called primary key (PK) chunking. PK chunking splits your query into multiple queries based on the record IDs of the queried object. This reduces the query time and avoids the query timeout issues that can occur with large data volumes
NEW QUESTION # 163
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