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Google GCP-DE Exam Syllabus Topics:

Google Data Engineer Sample Questions:

1. When a Cloud Bigtable node fails, is lost.

A) the last transaction
B) no data
C) all data
D) the time dimension

2. You work for a shipping company that uses handheld scanners to read shipping labels. Your company has strict data privacy standards that require scanners to only transmit recipients' personally identifiable information (PII) to analytics systems, which violates user privacy rules. You want to quickly build a scalable solution using cloud-native managed services to prevent exposure of PII to the analytics systems. What should you do?

A) Use Stackdriver logging to analyze the data passed through the total pipeline to identify transactions that may contain sensitive information.
B) Create an authorized view in BigQuery to restrict access to tables with sensitive data.
C) Build a Cloud Function that reads the topics and makes a call to the Cloud Data Loss Prevention AP
D) Use the tagging and confidence levels to either pass or quarantine the data in a bucket for review.
E) Install a third-party data validation tool on Compute Engine virtual machines to check the incoming data for sensitive information.

3. Your company produces 20,000 files every hour. Each data file is formatted as a comma separated values (CSV) file that is less than 4 KB. All files must be ingested on Google Cloud Platform before they can be processed. Your company site has a 200 ms latency to Google Cloud, and your Internet connection bandwidth is limited as 50 Mbps. You currently deploy a secure FTP (SFTP) server on a virtual machine in Google Compute Engine as the data ingestion point. A local SFTP client runs on a dedicated machine to transmit the CSV files as is. The goal is to make reports with data from the previous day available to the executives by 10:00 a.m. each day. This design is barely able to keep up with the current volume, even though the bandwidth utilization is rather low.
You are told that due to seasonality, your company expects the number of files to double for the next three months. Which two actions should you take? (choose two.)

A) Introduce data compression for each file to increase the rate file of file transfer.
B) Contact your internet service provider (ISP) to increase your maximum bandwidth to at least 100 Mbps.
C) Redesign the data ingestion process to use gsutil tool to send the CSV files to a storage bucket in parallel.
D) Transmit the TAR files instead, and disassemble the CSV files in the cloud upon receiving them.
E) Assemble 1,000 files into a tape archive (TAR) fil
F) Create an S3-compatible storage endpoint in your network, and use Google Cloud Storage Transfer Service to transfer on-premices data to the designated storage bucket.

4. Which Cloud Dataflow / Beam feature should you use to aggregate data in an unbounded data source every hour based on the time when the data entered the pipeline?

A) An hourly watermark
B) A processing time trigger
C) An event time trigger
D) The with Allowed Lateness method

5. You work for a manufacturing company that sources up to 750 different components, each from a different supplier. You've collected a labeled dataset that has on average 1000 examples for each unique component. Your team wants to implement an app to help warehouse workers recognize incoming components based on a photo of the component. You want to implement the first working version of this app (as Proof-Of-Concept) within a few working days. What should you do?

A) Use Cloud Vision API by providing custom labels as recognition hints.
B) Use Cloud Vision AutoML with the existing dataset.
C) Use Cloud Vision AutoML, but reduce your dataset twice.
D) Train your own image recognition model leveraging transfer learning techniques.

Solutions: