- (Exam Topic 5)
Which of the following is not true about Dataflow pipelines?

1. A. Pipelines are a set of operations
2. B. Pipelines represent a data processing job
3. C. Pipelines represent a directed graph of steps
4. D. Pipelines can share data between instances

Correct Answer: D
The data and transforms in a pipeline are unique to, and owned by, that pipeline. While your program can create multiple pipelines, pipelines cannot share data or transforms
Reference: https://cloud.google.com/dataflow/model/pipelines

- (Exam Topic 6)
Your organization has been collecting and analyzing data in Google BigQuery for 6 months. The majority of the data analyzed is placed in a time-partitioned table named events_partitioned. To reduce the cost of queries, your organization created a view called events, which queries only the last 14 days of data. The view is described in legacy SQL. Next month, existing applications will be connecting to BigQuery to read the events data via an ODBC connection. You need to ensure the applications can connect. Which two actions should you take? (Choose two.)

1. A. Create a new view over events using standard SQL
2. B. Create a new partitioned table using a standard SQL query
3. C. Create a new view over events_partitioned using standard SQL
4. D. Create a service account for the ODBC connection to use for authentication
5. E. Create a Google Cloud Identity and Access Management (Cloud IAM) role for the ODBC connection and shared “events”

Correct Answer: AE

- (Exam Topic 5)
Which Google Cloud Platform service is an alternative to Hadoop with Hive?

1. A. Cloud Dataflow
2. B. Cloud Bigtable
3. C. BigQuery
4. D. Cloud Datastore

Correct Answer: C
Apache Hive is a data warehouse software project built on top of Apache Hadoop for providing data summarization, query, and analysis.
Google BigQuery is an enterprise data warehouse. Reference: https://en.wikipedia.org/wiki/Apache_Hive

- (Exam Topic 6)
You want to build a managed Hadoop system as your data lake. The data transformation process is composed of a series of Hadoop jobs executed in sequence. To accomplish the design of separating storage from compute, you decided to use the Cloud Storage connector to store all input data, output data, and intermediary data. However, you noticed that one Hadoop job runs very slowly with Cloud Dataproc, when compared with the on-premises bare-metal Hadoop environment (8-core nodes with 100-GB RAM). Analysis shows that this particular Hadoop job is disk I/O intensive. You want to resolve the issue. What should you do?

1. A. Allocate sufficient memory to the Hadoop cluster, so that the intermediary data of that particular Hadoop job can be held in memory
2. B. Allocate sufficient persistent disk space to the Hadoop cluster, and store the intermediate data of that particular Hadoop job on native HDFS
3. C. Allocate more CPU cores of the virtual machine instances of the Hadoop cluster so that the networking bandwidth for each instance can scale up
4. D. Allocate additional network interface card (NIC), and configure link aggregation in the operating system to use the combined throughput when working with Cloud Storage

Correct Answer: A

- (Exam Topic 5)
What is the HBase Shell for Cloud Bigtable?

1. A. The HBase shell is a GUI based interface that performs administrative tasks, such as creating and deleting tables.
2. B. The HBase shell is a command-line tool that performs administrative tasks, such as creating and deleting tables.
3. C. The HBase shell is a hypervisor based shell that performs administrative tasks, such as creating and deleting new virtualized instances.
4. D. The HBase shell is a command-line tool that performs only user account management functions to grant access to Cloud Bigtable instances.

Correct Answer: B
The HBase shell is a command-line tool that performs administrative tasks, such as creating and deleting tables. The Cloud Bigtable HBase client for Java makes it possible to use the HBase shell to connect to Cloud Bigtable.
Reference: https://cloud.google.com/bigtable/docs/installing-hbase-shell