When a Cloud Bigtable node fails, ____ is lost.

• A.all data
• B.no data
• C.the last transaction
• D.the time dimension

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You are developing an application that uses a recommendation engine on Google Cloud. Your solution should display new videos to customers based on past views. Your solution needs to generate labels for the entities in videos that the customer has viewed. Your design must be able to provide very fast filtering suggestions based on data from other customer preferences on several TB of data. What should you do?

• A.Build and train a complex classification model with Spark MLlib to generate labels and filter the results.
  Deploy the models using Cloud Dataproc. Call the model from your application.
• B.Build and train a classification model with Spark MLlib to generate labels. Build and train a second classification model with Spark MLlib to filter results to match customer preferences. Deploy the models using Cloud Dataproc. Call the models from your application.
• C.Build an application that calls the Cloud Video Intelligence API to generate labels. Store data in Cloud Bigtable, and filter the predicted labels to match the user's viewing history to generate preferences.
• D.Build an application that calls the Cloud Video Intelligence API to generate labels. Store data in Cloud SQL, and join and filter the predicted labels to match the user's viewing history to generate preferences.

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When using Cloud Dataproc clusters, you can access the YARN web interface by configuring a browser to connect through a ____ proxy.

• A.HTTPS
• B.VPN
• C.SOCKS
• D.HTTP

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Your company is selecting a system to centralize data ingestion and delivery. You are considering messaging and data integration systems to address the requirements. The key requirements are:
* The ability to seek to a particular offset in a topic, possibly back to the start of all data ever captured
* Support for publish/subscribe semantics on hundreds of topics
* Retain per-key ordering
Which system should you choose?

• A.Apache Kafka
• B.Cloud Storage
• C.Cloud Pub/Sub
• D.Firebase Cloud Messaging

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You work for a car manufacturer and have set up a data pipeline using Google Cloud Pub/Sub to capture
anomalous sensor events. You are using a push subscription in Cloud Pub/Sub that calls a custom HTTPS
endpoint that you have created to take action of these anomalous events as they occur. Your custom
HTTPS endpoint keeps getting an inordinate amount of duplicate messages. What is the most likely cause
of these duplicate messages?

• A.Your custom endpoint has an out-of-date SSL certificate.
• B.Your custom endpoint is not acknowledging messages within the acknowledgement deadline.
• C.The message body for the sensor event is too large.
• D.The Cloud Pub/Sub topic has too many messages published to it.

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