Google Cloud Platform Certification

Which statement best describes where Cloud Dataproc falls on the big data processing model and the role it plays?

Cloud Dataproc allows organizations to scale data storage and ensures accessibility without compromising security. Cloud Dataproc allows organizations to easily use MapReduce, Pig, Hive, and Spark to process data before storing it, and it helps organizations interactively analyze data with Spark and Hive. Cloud Dataproc allows organizations to transform and enrich data in stream and batch … Read more

Publisher applications can receive messages from a topic. Subscriber applications can subscribe to a topic to receive the message when the subscriber is ready. Publisher applications can send messages to a subscriber. Subscriber applications can send messages on a topic directly to publisher applications.

TensorFlow Cloud Pub/Sub Data Warehouse Cloud Engine

Which of these statements about the Publisher-Subscriber pattern utilized by Cloud Pub/Sub is TRUE?

Publisher applications can receive messages from a topic. Subscriber applications can subscribe to a topic to receive the message when the subscriber is ready. Publisher applications can send messages to a subscriber. Subscriber applications can send messages on a topic directly to publisher applications.

What is the value that Cloud Pub/Sub provides? Select the 2 correct answers.

Integration Ease of use and implementation Customization Reduces OPEX

An organization’s analysts use Spark Shell. However, their IT department is concerned about the increase in usage and how to scale their cluster, which is running in Standalone mode. How does Cloud Dataproc help?

Cloud Dataproc consolidates data marts into datasets and provides the ability to simply manage all datasets. Cloud Dataproc supports Spark and can create clusters that scale for speed and mitigate any single point of failure. Cloud Dataproc can act as a landing zone for log data at a low cost. Cloud Dataproc enables you to … Read more

Market datasets QA datasets Training datasets Predictive datasets

Is a tool for developing and executing a wide range of data processing patterns on very large datasets. Is how you retrieve information from a database. Is focused on enabling computers to recognize patterns in data—without humans telling the computer how to recognize the patterns. Is a service to help capture data and rapidly pass massive … Read more

What dataset type is vital to machine learning?

Market datasets QA datasets Training datasets Predictive datasets

The Cloud Dataproc approach allows organizations to use Hadoop/Spark/Hive/Pig when needed. It takes on average only 90 seconds between the moment resources are requested and a job can be submitted. What makes this possible?

The separation of storage and compute. The use of queries and containers. The conﬁguration of jobs and workﬂows. The absence of management and maintenance.

Which of these statements best expresses what you can do with Cloud Dataﬂow?

“I need access to near real-time reports, even if the data is speculative or sampled.” “I wish I could run queries to organize my batch data.” “I need to know what customers are doing right now, and I need to ﬁnd out using my existing Hadoop tools.” “I need to transfer my data from my … Read more

A query is how you retrieve information from a database, so which of these paths demonstrates the journey of a query?

Table with Data > Query > Database Query > Table with Data > Database Table with Data > Database > Query Query > Database > Table with Data