May, 2024 Professional-Data-Engineer Practice Questions

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Sample Question 1

You designed a database for patient records as a pilot project to cover a few hundred patients in three clinics.Your design used a single database table to represent all patients and their visits, and you used self-joins togenerate reports. The server resource utilization was at 50%. Since then, the scope of the project has expanded.The database must now store 100 times more patient records. You can no longer run the reports, because theyeither take too long or they encounter errors with insufficient compute resources. How should you adjust thedatabase design?

A. Add capacity (memory and disk space) to the database server by the order of 200.
B. Shard the tables into smaller ones based on date ranges, and only generate reports with prespecified dateranges.
C. Normalize the master patient-record table into the patient table and the visits table, and create othernecessary tables to avoid self-join.
D. Partition the table into smaller tables, with one for each clinic. Run queries against the smaller tablepairs, and use unions for consolidated reports.

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Sample Question 2

Your company has hired a new data scientist who wants to perform complicated analyses across very largedatasets stored in Google Cloud Storage and in a Cassandra cluster on Google Compute Engine. The scientistprimarily wants to create labelled data sets for machine learning projects, along with some visualization tasks.She reports that her laptop is not powerful enough to perform her tasks and it is slowing her down. You wantto help her perform her tasks. What should you do?

A. Run a local version of Jupiter on the laptop.
B. Grant the user access to Google Cloud Shell.
C. Host a visualization tool on a VM on Google Compute Engine.
D. Deploy Google Cloud Datalab to a virtual machine (VM) on Google Compute Engine.

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Sample Question 3

Your company is in a highly regulated industry. One of your requirements is to ensure individual users haveaccess only to the minimum amount of information required to do their jobs. You want to enforce thisrequirement with Google BigQuery. Which three approaches can you take? (Choose three.)

A. Disable writes to certain tables.
B. Restrict access to tables by role.
C. Ensure that the data is encrypted at all times.
D. Restrict BigQuery API access to approved users.
E. Segregate data across multiple tables or databases.
F. Use Google Stackdriver Audit Logging to determine policy violations.

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