High-volume jobs, big objects and Ingestion API
How to keep high-volume B2C Commerce catalog data and jobs within platform standards and quotas, when a Salesforce big object fits large historical data, and how the Data 360 Ingestion API bulk and streaming patterns differ in format, limits and latency.
Given a scenario, identify appropriate systems of record and describe how you would extend the standard data model for high volume processing, articulate system limitations, and recommend preferred methods for integration between various data formats.
~6 min read · 13 practice questions
What the exam expects
- Shrink high-volume B2C Commerce product data (site and locale overrides, orphans, Set and Enum attributes) and explain where the clean-up runs.
- Apply the B2C Commerce job and storefront standards for feeds, transactions, memory, recovery, live calls and job load.
- Decide when a custom big object fits large historical data in the service org and state its limits.
- Choose between the Data 360 Ingestion API bulk and streaming patterns from file format, size, volume and latency.
Key terms: custom attribute row (each site-specific or localized value of a B2C Commerce attribute, stored as its own database row); job load factor (daily job execution seconds divided by 86,400); quota (a monitored B2C Commerce resource limit that logs, warns or errors); big object (a Salesforce object on a horizontally scalable, non-transactional store for billions of records); Ingestion API (the Data 360 REST interface with bulk and streaming patterns).
Key facts
- Detail
- Each site value and translation is its own row
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- Primarily staging, which replicates to production
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- 1,000 modified business objects
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- Keep below 0.20
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- Low, for example 1 second
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- 60% of limit
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- SOQL, Bulk, Chatter, SOAP; not REST
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- Up to 100
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- Up to 150 MB; 100 files per job
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- Wait at least 30 seconds
Sources for this section (6)
- Optimize Product Datahelp.salesforce.com (opens in a new tab)
- Site Performancedeveloper.salesforce.com (opens in a new tab)
- Governance and Quotasdeveloper.salesforce.com (opens in a new tab)
- Big Objectsdeveloper.salesforce.com (opens in a new tab)
- Big Objects Best Practicesdeveloper.salesforce.com (opens in a new tab)
- Ingestion APIdeveloper.salesforce.com (opens in a new tab)
- When should a full search index rebuild run on a B2C Commerce staging instance?
- Why should job schedules disperse their start times?
- How do you delete a product custom attribute value through a catalog import?
- How many records can one Ingestion API streaming delete remove?
The questions are free to read. Answers with their sources and self-grading are included with the pack.
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