Google Cloud ML Boostcamp

Which Google hardware innovation tailors architecture to meet the computation needs on a domain?

• A.CPUs (central processing units)

• B.GPUs (graphic processing units)

• C.TPUs (Tensor Processing Units)

• D.DPUs (data processing units)

Which data storage class is best for storing data that needs to be accessed less than once a year?

• A.Standard storage

• B.Nearline storage

• C.Coldline storage

• D.Archive storage

Compute Engine, Google Kubernetes Engine, App Engine, and Cloud Functions represent which type of services?

• A.Database and storage

• B.Compute

• C.Networking

• D.Machine learning

Cloud Storage, Cloud Bigtable, Cloud SQL, Cloud Spanner, and Firestore represent which type of services?

• A.Machine learning

• B.Networking

• C.Database and storage

• D.Compute

Pub/Sub, Dataflow, Dataproc, and Cloud Data Fusion align to which stage of the data-to-AI workflow?

• A.Ingestion and process

• B.Storage

• C.Analytics

• D.Machine learning

AutoML, Vertex AI Workbench, and TensorFlow align to which stage of the data-to-AI workflow?

• A.Ingestion and process

• B.Storage

• C.Analytics

• D.Machine learning

Select the correct streaming data workflow.

• A.Ingest the streaming data, process the data, and visualize the results.

• B.Visualize the data, process the data, and ingest the streaming data.

• C.Ingest the streaming data, visualize the data, and process the data.

• D.Process the data, visualize the data, and ingest the data.

Choose the distributed messaging service that is designed to ingest messages from multiple device streams.

• -A.Looker

• B.Pub/Sub

• C.Looker Studio

• D.Apache Beam

Which Google Cloud product acts as an execution engine to process and implement data processing pipelines?

• A.Apache Beam

• B.Looker

• C.Looker Studio

• D.Dataflow

Processing data in near-real time, as soon as it reaches the system, is represented by which type of data challenge?

• A.Variety

• B.Volume

• C.Velocity

• D.Veracity