Google Data Engineer : GCP-DE exam

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Google GCP-DE Exam Syllabus Topics:

Google Data Engineer Sample Questions:

1. Which of these rules apply when you add preemptible workers to a Dataproc cluster (select 2 answers)?

A) Preemptible workers cannot store data.
B) Preemptible workers cannot use persistent disk.
C) A Dataproc cluster cannot have only preemptible workers.
D) If a preemptible worker is reclaimed, then a replacement worker must be added manually.

2. You are developing an application on Google Cloud that will automatically generate subject labels for users' blog posts. You are under competitive pressure to add this feature quickly, and you have no additional developer resources. No one on your team has experience with machine learning. What should you do?

A) Call the model from your application and process the results as labels.
B) Call the model from your application and process the results as labels.
C) Build and train a text classification model using TensorFlo
D) Process the generated Entity Analysis as labels.
E) Process the generated Sentiment Analysis as labels.
F) Build and train a text classification model using TensorFlo
G) Call the Cloud Natural Language API from your applicatio
H) Call the Cloud Natural Language API from your applicatio
I) Deploy the model using Cloud Machine Learning Engin
J) Deploy the model using a KubernetesEngine cluste

3. You are running a pipeline in Cloud Dataflow that receives messages from a Cloud Pub/Sub topic and writes the results to a BigQuery dataset in the EU. Currently, your pipeline is located in europe-west4 and has a maximum of 3 workers, instance type n1-standard-1. You notice that during peak periods, your pipeline is struggling to process records in a timely fashion, when all 3 workers are at maximum CPU utilization. Which two actions can you take to increase performance of your pipeline? (Choose two.)

A) Use a larger instance type for your Cloud Dataflow workers
B) Create a temporary table in Cloud Bigtable that will act as a buffer for new data
C) Increase the number of max workers
D) Create a new step in your pipeline to write to this table first, and then create a new pipeline to write from Cloud Bigtable to BigQuery
E) Create a new step in your pipeline to write to this table first, and then create a new pipeline to write from Cloud Spanner to BigQuery
F) Change the zone of your Cloud Dataflow pipeline to run in us-central1
G) Create a temporary table in Cloud Spanner that will act as a buffer for new data

4. Which row keys are likely to cause a disproportionate number of reads and/or writes on a particular node in a Bigtable cluster (select 2 answers)?

A) A sequential numeric ID
B) A non-sequential numeric ID
C) A timestamp followed by a stock symbol
D) A stock symbol followed by a timestamp

5. 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 Bigtable
B) Cloud Datastore and Cloud Bigtable
C) BigQuery and Cloud Storage
D) Cloud Bigtable and Cloud SQL

Solutions: