Google Data Engineer : GCP-DE

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Google GCP-DE Exam Syllabus Topics:

Google Data Engineer Sample Questions:

1. What are the minimum permissions needed for a service account used with Google Dataproc?

A) Read and write to Google Cloud Storage; write to Google Cloud Logging
B) Execute to Google Cloud Storage; execute to Google Cloud Logging
C) Write to Google Cloud Storage; read to Google Cloud Logging
D) Execute to Google Cloud Storage; write to Google Cloud Logging

2. 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) 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
B) Increase the number of max workers
C) Create a temporary table in Cloud Bigtable that will act as a buffer for new data
D) Create a temporary table in Cloud Spanner that will act as a buffer for new data
E) 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
F) Use a larger instance type for your Cloud Dataflow workers
G) Change the zone of your Cloud Dataflow pipeline to run in us-central1

3. Cloud Dataproc is a managed Apache Hadoop and Apache service.

A) Blaze
B) Ignite
C) Spark
D) Fire

4. You are planning to migrate your current on-premises Apache Hadoop deployment to the cloud. You need to ensure that the deployment is as fault-tolerant and cost-effective as possible for long-running batch jobs. You want to use a managed service. What should you do?

A) Deploy a Cloud Dataproc cluste
B) Change references in scripts from hdfs:// to gs://
C) Use a standard persistent disk and 50% preemptible worker
D) Install Hadoop and Spark on a 10-node Compute Engine instance group with preemptible instances.Store data in HDF
E) Store data in Cloud Storage, and change references in scripts from hdfs:// to gs://
F) Deploy a Cloud Dataproc cluste
G) Install Hadoop and Spark on a 10-node Compute Engine instance group with standard instance
H) Store data in Cloud Storage, and change references in scripts from hdfs:// to gs://
I) Install the Cloud Storage connector, and store the data in Cloud Storag
J) Change references in scripts from hdfs:// to gs://
K) Use an SSD persistent disk and 50% preemptible worker

5. You need to choose a database for a new project that has the following requirements:
Fully managed
Able to automatically scale up
Transactionally consistent
Able to scale up to 6 TB
Able to be queried using SQL Which database do you choose?

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

Solutions: