Google GCP-DE 問題集 : Data Engineer

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

You want to automate execution of a multi-step data pipeline running on Google Cloud. The pipeline includes Cloud Dataproc and Cloud Dataflow jobs that have multiple dependencies on each other. You want to use managed services where possible, and the pipeline will run every day. Which tool should you use?

• A. Workflow Templates on Cloud Dataproc
• B. cron
• C. Cloud Scheduler
• D. Cloud Composer

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

• A. Windows
• B. Triggers
• C. Sessions
• D. OutputCriteria

Your company maintains a hybrid deployment with GCP, where analytics are performed on your anonymized customer dat a. The data are imported to Cloud Storage from your data center through parallel uploads to a data transfer server running on GCP. Management informs you that the daily transfers take too long and have asked you to fix the problem. You want to maximize transfer speeds. Which action should you take?

• A. Increase the size of the Google Persistent Disk on your server.
• B. Increase your network bandwidth from Compute Engine to Cloud Storage.
• C. Increase the CPU size on your server.
• D. Increase your network bandwidth from your datacenter to GCP.

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. Introduce resource hierarchy to leverage access control policy inheritance.
• 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. Create distinct groups for various teams, and specify groups in Cloud IAM policies.
• D. For each Cloud Storage bucket or BigQuery dataset, decide which projects need acces
• E. Use Cloud Deployment Manager to automate access provision.
• F. Only use service accounts when sharing data for Cloud Storage buckets and BigQuery datasets.