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Google GCP-DE Exam Syllabus Topics:

Google Data Engineer Sample Questions:

1. MJTelco is building a custom interface to share dat
a. They have these requirements:
They need to do aggregations over their petabyte-scale datasets.
They need to scan specific time range rows with a very fast response time (milliseconds). Which combination of Google Cloud Platform products should you recommend?

A) BigQuery and Cloud Storage
B) Cloud Datastore and Cloud Bigtable
C) BigQuery and Cloud Bigtable
D) Cloud Bigtable and Cloud SQL

2. Flowlogistic's CEO wants to gain rapid insight into their customer base so his sales team can be better informed in the field. This team is not very technical, so they've purchased a visualization tool to simplify the creation of BigQuery reports. However, they've been overwhelmed by all the data in the table, and are spending a lot of money on queries trying to find the data they need. You want to solve their problem in the most cost-effective way. What should you do?

A) Create a view on the table to present to the virtualization tool.
B) Create identity and access management (IAM) roles on the appropriate columns, so only they appear in a query.
C) Create an additional table with only the necessary columns.
D) Export the data into a Google Sheet for virtualization.

3. Suppose you have a dataset of images that are each labeled as to whether or not they contain a human face. To create a neural network that recognizes human faces in images using this labeled dataset, what approach would likely be the most effective?

A) Build a neural network with an input layer of pixels, a hidden layer, and an output layer with two categories.
B) Use deep learning by creating a neural network with multiple hidden layers to automatically detect features of faces.
C) Use feature engineering to add features for eyes, noses, and mouths to the input data.
D) Use K-means Clustering to detect faces in the pixels.

4. MJTelco needs you to create a schema in Google Bigtable that will allow for the historical analysis of the last 2 years of records. Each record that comes in is sent every 15 minutes, and contains a unique identifier of the device and a data record. The most common query is for all the data for a given device for a given day. Which schema should you use?

A) Rowkey: date#device_idColumn data: data_point
B) Rowkey: dateColumn data: device_id, data_point
C) Rowkey: data_pointColumn data: device_id, date
D) Rowkey: date#data_pointColumn data: device_id
E) Rowkey: device_idColumn data: date, data_point

5. You work for a mid-sized enterprise that needs to move its operational system transaction data from an on-premises database to GCP. The database is about 20 TB in size. Which database should you choose?

A) Cloud Bigtable
B) Cloud Datastore
C) Cloud Spanner
D) Cloud SQL

Solutions: