Printable PDFProfessional Data Engineer on Google Cloud Platform: PROFESSIONAL-DATA-ENGINEER
Vendor: Google
Certifications: Google Certifications
Exam Name: Professional Data Engineer on Google Cloud Platform
Exam Code: PROFESSIONAL-DATA-ENGINEER
Total Questions: 269 Q&As
Last Updated: Jun 02, 2023
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PROFESSIONAL-DATA-ENGINEER Online Practice Questions and Answers
You're using Bigtable for a real-time application, and you have a heavy load that is a mix of read and writes. You've recently identified an additional use case and need to perform hourly an analytical job to calculate certain statistics across the whole database. You need to ensure both the reliability of your production application as well as the analytical workload.
What should you do?
A. Export Bigtable dump to GCS and run your analytical job on top of the exported files.
B. Add a second cluster to an existing instance with a multi-cluster routing, use live-traffic app profile for your regular workload and batch-analytics profile for the analytics workload.
C. Add a second cluster to an existing instance with a single-cluster routing, use live-traffic app profile for your regular workload and batch-analytics profile for the analytics workload.
D. Increase the size of your existing cluster twice and execute your analytics workload on your new resized cluster.
You store historic data in Cloud Storage. You need to perform analytics on the historic data. You want to use a solution to detect invalid data entries and perform data transformations that will not require programming or knowledge of SQL.
What should you do?
A. Use Cloud Dataflow with Beam to detect errors and perform transformations.
B. Use Cloud Dataprep with recipes to detect errors and perform transformations.
C. Use Cloud Dataproc with a Hadoop job to detect errors and perform transformations.
D. Use federated tables in BigQuery with queries to detect errors and perform transformations.
You work for a large financial institution that is planning to use Dialogflow to create a chatbot for the company's mobile app You have reviewed old chat logs and lagged each conversation for intent based on each customer's stated intention for contacting customer service About 70% of customer requests are simple requests that are solved within 10 intents The remaining 30% of inquiries require much longer, more complicated requests
Which intents should you automate first?
A. Automate the 10 intents that cover 70% of the requests so that live agents can handle more complicated requests
B. Automate the more complicated requests first because those require more of the agents' time
C. Automate a blend of the shortest and longest intents to be representative of all intents
D. Automate intents in places where common words such as "payment" appear only once so the software isn't confused
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