Google GCP-DE

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Google Data Engineer Sample Questions:

1. You need to create a data pipeline that copies time-series transaction data so that it can be queried from within BigQuery by your data science team for analysis. Every hour, thousands of transactions are updated with a new status. The size of the intitial dataset is 1.5 PB, and it will grow by 3 TB per day. The data is heavily structured, and your data science team will build machine learning models based on this dat a. You want to maximize performance and usability for your data science team. Which two strategies should you adopt? Choose 2 answers.

A) Preserve the structure of the data as much as possible.
B) Use BigQuery UPDATE to further reduce the size of the dataset.
C) Denormalize the data as must as possible.
D) Copy a daily snapshot of transaction data to Cloud Storage and store it as an Avro fil
E) Use BigQuery'ssupport for external data sources to query.
F) Develop a data pipeline where status updates are appended to BigQuery instead of updated.

2. 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) The with Allowed Lateness method
C) A processing time trigger
D) An event time trigger

3. You are a retailer that wants to integrate your online sales capabilities with different in-home assistants, such as Google Home. You need to interpret customer voice commands and issue an order to the backend systems. Which solutions should you choose?

A) Cloud Speech-to-Text API
B) Cloud AutoML Natural Language
C) Cloud Natural Language API
D) Dialogflow Enterprise Edition

4. As your organization expands its usage of GCP, many teams have started to create their own projects. Projects are further multiplied to accommodate different stages of deployments and target audiences. Each project requires unique access control configurations. The central IT team needs to have access to all projects. Furthermore, data from Cloud Storage buckets and BigQuery datasets must be shared for use in other projects in an ad hoc way. You want to simplify access control management by minimizing the number of policies. Which two steps should you take? Choose 2 answers.

A) Create distinct groups for various teams, and specify groups in Cloud IAM policies.
B) Find all the active members who have access to these projects, and create a Cloud IAM policy to grant access to all these users.
C) Only use service accounts when sharing data for Cloud Storage buckets and BigQuery datasets.
D) For each Cloud Storage bucket or BigQuery dataset, decide which projects need acces
E) Introduce resource hierarchy to leverage access control policy inheritance.
F) Use Cloud Deployment Manager to automate access provision.

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

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

Solutions: