A.

Disable caching by editing the report settings.

Reference https://support.google.com/datastudio/answer/7020039?hl=en

D.

Google Cloud SQL

You can load data into BigQuery from a file upload, Google Cloud Storage, Google Drive, or Google Cloud
Bigtable. It is not possible to load data into BigQuery directly from Google Cloud SQL. One way to get data
from Cloud SQL to BigQuery would be to export data from Cloud SQL to Cloud Storage and then load it from
there.

D.

Read and write to Google Cloud Storage; write to Google Cloud Logging

Service accounts authenticate applications running on your virtual machine instances to other Google Cloud
Platform services. For example, if you write an application that reads and writes files on Google Cloud
Storage, it must first authenticate to the Google Cloud Storage API. At a minimum, service accounts used with
Cloud Dataproc need permissions to read and write to Google Cloud Storage, and to write to Google Cloud
Logging.

B.

minute-by-minute

Explanation
One of the advantages of Cloud Dataproc is its low cost. Dataproc charges for what you really use with
minute-by-minute billing and a low, ten-minute-minimum billing period.

C.

NoSQL

Cloud Bigtable is Google's NoSQL Big Data database service. It is the same database that Google uses for
services, such as Search, Analytics, Maps, and Gmail.
It is used for requirements that are low latency and high throughput including Internet of Things (IoT), user
analytics, and financial data analysis

B.

Predictions are returned in the response message.

D.

It is optimized to minimize the latency of serving predictions

Explanation
Online prediction
Optimized to minimize the latency of serving predictions.
Predictions returned in the response message.
Batch prediction
Optimized to handle a high volume of instances in a job and to run more complex models.
Predictions written to output files in a Cloud Storage location that you specify.

B.

categorical_column_with_hash_bucket

If you know the set of all possible feature values of a column and there are only a few of them, you can use
categorical_column_with_vocabulary_list. Each key in the list will get assigned an auto-incremental ID
starting from 0.
What if we don't know the set of possible values in advance? Not a problem. We can use
categorical_column_with_hash_bucket instead. What will happen is that each possible value in the feature
column occupation will be hashed to an integer ID as we encounter them in training.

C.

SSH tunnel

Explanation
To connect to the web interfaces, it is recommended to use an SSH tunnel to create a secure connection to the master node.