Dataproc clusters contain many configuration files. To update these files, you will need to use the --properties option. The format for the option is: file_prefix:property=_____.

• A.details
• B.value
• C.null
• D.id

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Your team is working on a binary classification problem. You have trained a support vector machine (SVM) classifier with default parameters, and received an area under the Curve (AUC) of 0.87 on the validation set.
You want to increase the AUC of the model. What should you do?

• A.Deploy the model and measure the real-world AUC; it's always higher because of generalization
• B.Scale predictions you get out of the model (tune a scaling factor as a hyperparameter) in order to get the highest AUC
• C.Perform hyperparameter tuning
• D.Train a classifier with deep neural networks, because neural networks would always beat SVMs

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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 two.)

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

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Your company built a TensorFlow neural-network model with a large number of neurons and layers. The model fits well for the training data. However, when tested against new data, it performs poorly. What method can you employ to address this?

• A.Threading
• B.Serialization
• C.Dropout Methods
• D.Dimensionality Reduction

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You have Cloud Functions written in Node.js that pull messages from Cloud Pub/Sub and send the data to BigQuery. You observe that the message processing rate on the Pub/Sub topic is orders of magnitude higher than anticipated, but there is no error logged in Stackdriver Log Viewer. What are the two most likely causes of this problem? Choose 2 answers.

• A.Total outstanding messages exceed the 10-MB maximum.
• B.Publisher throughput quota is too small.
• C.Error handling in the subscriber code is not handling run-time errors properly.
• D.The subscriber code cannot keep up with the messages.
• E.The subscriber code does not acknowledge the messages that it pulls.

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