Topic 1 Question 48
Your company has multiple on-premises systems that serve as sources for reporting. The data has not been maintained well and has become degraded over time. You want to use Google-recommended practices to detect anomalies in your company data. What should you do?
Upload your files into Cloud Storage. Use Cloud Datalab to explore and clean your data.
Upload your files into Cloud Storage. Use Cloud Dataprep to explore and clean your data.
Connect Cloud Datalab to your on-premises systems. Use Cloud Datalab to explore and clean your data.
Connect Cloud Dataprep to your on-premises systems. Use Cloud Dataprep to explore and clean your data.
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Answer is B:
Keynotes from question: 1- On-premise data sources 2- Unfit data; not well maintained and degraded 3- Google-recommended best practice to "detect anomalies" <<-Very important.
Explanation: A & C - incorrect; Datalab does not provide anomaly detection OOTB. It is used more for data science scenarios like interactive data analysis and build ML models. B - CORRECT; DataPrep OOTB provides for fast exploration and anomaly detection and lists cloud storage as an ingestion medium. Refer to ELT pipeline architecture here = https://cloud.google.com/dataprep D - incorrect; At this time DataPrep cannot connect to SaaS or on-premise source. Not to be confused for DataFlow which can!
👍 42JohnWick20202021/04/13Both B and D work, because the question says "Google's Best Practices" uploading the files first would keep the original copies Google encrypted and stored.
👍 12Eroc2019/10/26Could anyone provide a link where it explicitly says that Datprep does not connect to on-premises data sources.
In the ingestion layer on the diagram at https://cloud.google.com/dataprep it shows databases as a source. I can't see anywhere that there is a limitation connecting to on-premises. Would be great if someone could share that.
👍 3Cloudexplorer2022/07/24
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