Practice Test 4 | Google Cloud Certified Professional Data Engineer | Dumps | Mock Test
Your company is in a highly regulated industry. You are working on a new project where several data feed from company will be sent to a third party. After start of few weeks of the project your data analyst raise a concern that data feed might have Personal identifiable information(PII) as well. You need to quickly identify whether the outgoing feed has PII information. If yes, you need to take appropriate action. How will you work through this problem in quicker and efficient way?
A. Create a spark job in cloud data proc to read all the data in the feed and search for particular pattern. Using spark will give high performance, also using spark streaming can perform an operation on the feed instantly. If PII information is identified, mask that information with ‘#’.
B. Create cloud dataflow job to read outgoing data feed first and mask and identified PII information with ‘#’. Cloud dataflow will give the flexibility to use the same code for batch as well as stream processing.
C. Use cloud data loss prevention api to identify any PII information and de-identify the same by masking it with ‘#”.
D. Use cloud data prep to figure out the pattern of PII information in the data feed. Create dataprep recipe to mask or delete the PII information from the data.
Correct answer is C.
Option A is incorrect. As we need to find a solution which should be quicker and efficient, creating spark job from scratch will take time and effort. For this purpose, we can use Google Cloud managed data loss prevention API.
Option B is incorrect. Creating dataflow job is not an ideal solution as it will take time and effort.
Option C is correct. Cloud data loss prevention api can detect PII by classifying the data using more than 90 predefined detectors to identify patterns. Also, it gives the flexibility to mask the data. Refer GCP documentation – https://cloud.google.com/dlp/
Option D is incorrect. The ideal solution to quickly identify the PII data is using data loss prevention API. Using cloud data prep would first of all take time and also it might not remove the PII data as efficiently as data loss prevention API.
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