Question # 1
All Google Cloud Bigtable client requests go through a front-end server ______ they are sent to a Cloud
Bigtable node.
| | A. before
| | B. after
| | C. only if
| | D. once |
In a Cloud Bigtable architecture all client requests go through a front-end server before they are sent to a
Cloud Bigtable node.
The nodes are organized into a Cloud Bigtable cluster, which belongs to a Cloud Bigtable instance, which is a
container for the cluster. Each node in the cluster handles a subset of the requests to the cluster.
When additional nodes are added to a cluster, you can increase the number of simultaneous requests that the
cluster can handle, as well as the maximum throughput for the entire cluster.
Question # 2
What are all of the BigQuery operations that Google charges for?
| | A. Storage, queries, and streaming inserts
| | B. Storage, queries, and loading data from a file
| | C. Storage, queries, and exporting data
| | D. Queries and streaming inserts |
A. Storage, queries, and streaming inserts
Explanation
Google charges for storage, queries, and streaming inserts. Loading data from a file and exporting data are free
operations.
Question # 3
Which of the following is NOT a valid use case to select HDD (hard disk drives) as the storage for Google
Cloud Bigtable?
| | A. You expect to store at least 10 TB of data.
| | B. You will mostly run batch workloads with scans and writes, rather than frequently executing random
reads of a small number of rows.
| | C. You need to integrate with Google BigQuery.
| | D. You will not use the data to back a user-facing or latency-sensitive application |
C. You need to integrate with Google BigQuery.
Explanation
For example, if you plan to store extensive historical data for a large number of remote-sensing devices and
then use the data to generate daily reports, the cost savings for HDD storage may justify the performance
tradeoff. On the other hand, if you plan to use the data to display a real-time dashboard, it probably would not
make sense to use HDD storage—reads would be much more frequent in this case, and reads are much slower
with HDD storage.
Question # 4
Your company is using WHILECARD tables to query data across multiple tables with
similar names. The SQL statement is currently failing with the following error:
# Syntax error : Expected end of statement but got “-“ at [4:11]
SELECT age
FROM
bigquery-public-data.noaa_gsod.gsod
WHERE
age != 99
AND_TABLE_SUFFIX = ‘1929’
ORDER BY
age DESC
Which table name will make the SQL statement work correctly?
| | A. ‘bigquery-public-data.noaa_gsod.gsod‘
| | B. bigquery-public-data.noaa_gsod.gsod*
| | C. ‘bigquery-public-data.noaa_gsod.gsod’*
| | D. ‘bigquery-public-data.noaa_gsod.gsod*` |
B. bigquery-public-data.noaa_gsod.gsod*
Question # 5
Scaling a Cloud Dataproc cluster typically involves ____.
| | A. increasing or decreasing the number of worker nodes
| | B. increasing or decreasing the number of master nodes
| | C. moving memory to run more applications on a single node
|
A. increasing or decreasing the number of worker nodes
After creating a Cloud Dataproc cluster, you can scale the cluster by increasing or decreasing the number of
worker nodes in the cluster at any time, even when jobs are running on the cluster. Cloud Dataproc clusters are
typically scaled to:
1) increase the number of workers to make a job run faster
2) decrease the number of workers to save money
3) increase the number of nodes to expand available Hadoop Distributed Filesystem (HDFS) storage
Question # 6
You want to use Google Stackdriver Logging to monitor Google BigQuery usage. You need
an instant notification to be sent to your monitoring tool when new data is appended to a
certain table using an insert job, but you do not want to receive notifications for other
tables. What should you do?
| | A. Make a call to the Stackdriver API to list all logs, and apply an advanced filter.
| | B. In the Stackdriver logging admin interface, and enable a log sink export to BigQuery.
| | C. In the Stackdriver logging admin interface, enable a log sink export to Google Cloud
Pub/Sub, and subscribe to the topic from your monitoring tool.
| | D. Using the Stackdriver API, create a project sink with advanced log filter to export to
Pub/Sub, and subscribe to the topic from your monitoring tool. |
B. In the Stackdriver logging admin interface, and enable a log sink export to BigQuery.
Question # 7
Which of the following IAM roles does your Compute Engine account require to be able to run pipeline jobs?
| | A. dataflow.worker
| | B. dataflow.compute
| | C. dataflow.developer
| | D. dataflow.viewer |
Explanation
The dataflow.worker role provides the permissions necessary for a Compute Engine service
account to execute work units for a Dataflow pipeline
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