Google Cloud Data Engineer Practice Questions Second Edition Part 5

Pig Latin is a high-level language comparable to _______ in its simplicity.

Spark SQL is designed for working with ________, using a familiar SQL syntax.

To run Apache Spark, you need _____________ and a distributed storage system.

Kafka is designed for high _________ and low latency when you have multiple connected systems and need a way to shuffle data around them.

A Kafka cluster achieves replication and fault tolerance by using ________

The fundamental problem with the design is _____________.

Information from our users and other apps is published to a _____.

Google Pub/Sub can process up to _______ messages per second.

Which of the following are the use cases of Cloud Pub/Sub?

In the _________ pattern, we have a publisher, a topic, and a subscriber.

How can multiple subscribers get only their own messages from the same subscription?

A message contains your data which is going to be a _______ payload.

Which of the following is the default method of receiving messages?

Which of the following language is supported by Pub/Sub?

Undelivered messages are deleted in _____ days by default.

You can set 31-days expiry to ____________.

Once messages are acknowledged, they are no longer available to subscribers.

____________ is useful when you are deploying new code.

Messages may be received in _________ order from the one they were published in.

You should control Pub/Sub permissions with Cloud IAM and use custom service accounts for authorization of __________.

What is the purpose of a trigger in Cloud Dataflow?

What is a sensible way to test a Cloud Dataflow pipeline before deploying it to production?

Which big data programming model is implemented with Cloud Dataflow?

Which operation can be used to invoke a user-specified function of each element of an input PCollection?

What method could you use to help compute averages when dealing with unbounded/streaming data?

What is the compute model of Cloud Dataflow?

What is a pipeline in the context of Cloud Dataflow?

Which transformation can be used to process collections of key/value pairs in a similar fashion to the shuffle phase of a map/shuffle/reduce-style algorithm?

What would be the most secure way to grant access from Dataflow in Project A to a Cloud Storage bucket in Project B?

What is the name given to a dataset that can be acted upon within a Cloud Dataflow pipeline?

Which utilities must you consider while provisioning machines to get the Hadoop and Spark up and running?

Cloud Dataproc creates a master node, running the ______ resource manager.

Clusters actions complete in ___ seconds.

We can create_________ clusters in Cloud Dataproc.

Which type of cluster has a single VM that will run the master?

Which of the following job types can Dataproc accept?

Which of the following metrics can be considered notable Dataproc metrics?

You create your custom image in Cloud Dataproc that will be used in your cluster instead of the default image. True or false?

You can attach _________ with your nodes to assist with specific workloads.

If a worker has a high level of ____________, it probably has more work to do to finish a task.

NoSQL database can be thought of as a series of key-value pairs where the values are split into _______.

There are ____ types of Bigtable instances.

With _____ instances, each node can process eight terabytes of data.

With ____ instances, each node can comfortably process 2.5 terabytes of data.

A single instance can run up to ____ clusters.