ALIBABA · objective · 28% of the exam
Batch Processing — Data Engineer (Associate)
The official ALIBABA documentation our Batch Processing practice questions are cited to. Review the primary sources, then practise.
Official references for this objective
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Alibabacloud — OpenAI Batch API - Alibaba Cloud Model Studio - Alibaba Cloud Documentation Center
Maximum size: 1 MB . Maximum lines: 100 . Concurrency limit: Up to 2 parallel tasks.
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Alibabacloud — Batch inference - Alibaba Cloud Model Studio - Alibaba Cloud Documentation Center
Up to 50,000 requests per file, and a maximum file size of 500 MB. If your dataset exceeds these limits, split it into multiple files
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Alibabacloud — Batch System: Batch Compute and Cloud-native Serverless Argo Workflows - Alibaba Cloud Community
Portability Weak, only applicable to specific cloud vendor ecosystems Strong, compatible with open-source ecosystems, and support cross-cloud running
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Alibabacloud — Cloud-native Offline Workflow Orchestration: Kubernetes Clusters for Distributed Argo Workflows - Alibaba Cloud Community
Argo Workflows allow you to create a DAG to specify the dependencies of each task
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Alibabacloud — Flexibly Utilize Cloud Message Service in Your Business - Alibaba Cloud Community
Trigger data load job as soon as file arrives from external system. File watcher application can send file arrival message to Message Service queue
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Alibabacloud — What is Data Integration, features of Data Integration - DataWorks - Alibaba Cloud Documentation Center
Batch scenario : One-time full synchronization followed by periodic incremental synchronization. Suitable for data sources that do not require high data timeliness