Google GCP-DE : Data Engineer

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Google GCP-DE Exam Syllabus Topics:

Google Data Engineer Sample Questions:

1. You are creating a new pipeline in Google Cloud to stream IoT data from Cloud Pub/Sub through Cloud Dataflow to BigQuery. While previewing the data, you notice that roughly 2% of the data appears to be corrupt. You need to modify the Cloud Dataflow pipeline to filter out this corrupt data. What should you do?

A) Add a GroupByKey transform in Cloud Dataflow to group all of the valid data together and discard the rest.
B) Add a ParDo transform in Cloud Dataflow to discard corrupt elements.
C) Add a Partition transform in Cloud Dataflow to separate valid data from corrupt data.
D) Add a SideInput that returns a Boolean if the element is corrupt.

2. You are building a model to predict whether or not it will rain on a given day. You have thousands of input features and want to see if you can improve training speed by removing some features while having a minimum effect on model accuracy. What can you do?

A) Eliminate features that are highly correlated to the output labels.
B) Instead of feeding in each feature individually, average their values in batches of 3.
C) Remove the features that have null values for more than 50% of the training records.
D) Combine highly co-dependent features into one representative feature.

3. What Dataflow concept determines when a Window's contents should be output based on certain criteria being met?

A) Sessions
B) Windows
C) OutputCriteria
D) Triggers

4. You have enabled the free integration between Firebase Analytics and Google BigQuery. Firebase now automatically creates a new table daily in BigQuery in the format app_events_YYYYMMDD. You want to query all of the tables for the past 30 days in legacy SQL. What should you do?

A) Use SELECT IF.(date >= YYYY-MM-DD AND date <= YYYY-MM-DD
B) Use WHERE date BETWEEN YYYY-MM-DD AND YYYY-MM-DD
C) Use the WHERE_PARTITIONTIME pseudo column
D) Use the TABLE_DATE_RANGE function

5. What is the general recommendation when designing your row keys for a Cloud Bigtable schema?

A) Keep your row key as long as the field permits
B) Include multiple time series values within the row key
C) Keep the row keep as an 8 bit integer
D) Keep your row key reasonably short

Solutions: