Câu 20: Google Cloud Professional Data Engineer
An external customer provides you with a daily dump of data from their database. The data flows into Google Cloud Storage GCS as comma-separated values(CSV) files. You want to analyze this data in Google BigQuery, but the data could have rows that are formatted incorrectly or corrupted. How should you build this pipel…
Nội dung câu hỏi
An external customer provides you with a daily dump of data from their database. The data flows into Google Cloud Storage GCS as comma-separated values(CSV) files. You want to analyze this data in Google BigQuery, but the data could have rows that are formatted incorrectly or corrupted. How should you build this pipeline?
Các lựa chọn
Đáp án được giữ gọn theo nhãn A, B, C, D trong phần bình chọn tương tác.
- A. Use federated data sources, and check data in the SQL query.
- B. Enable BigQuery monitoring in Google Stackdriver and create an alert.
- C. Import the data into BigQuery using the gcloud CLI and set max_bad_records to 0.
- D. Run a Google Cloud Dataflow batch pipeline to import the data into BigQuery, and push errors to another dead-letter table for analysis. — đáp án hiện tại
Cộng đồng
0 bình luận công khai. Tên thành viên được ẩn một phần.