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PDE - 6 Mixed Quiz

Authored by Supratim Bhattacharya

Science

Professional Development

Used 2+ times

PDE - 6  Mixed Quiz
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7 questions

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1.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Google Cloud's pretrained model APIs use:

Your models and your data

Google's models and Google's data

Your models and Google's data

Google's models and your data

2.

MULTIPLE SELECT QUESTION

1 min • 1 pt

Which of the following are valid techniques for improving AutoML Vision and AutoML Natural Language models? (select two)

Increase the diversity and complexity of data

Increase the amount of training data

Increase the number of labels

Decrease the amount of training data

3.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Which statement best describes a data lake?

Storage optimized for high-throughput writes.

Data storage intended for analytics.

The place where you capture every aspect of your business operations. Data is stored in its natural, raw format.

Storage for current/historical data intended for reporting.

4.

MULTIPLE SELECT QUESTION

1 min • 1 pt

Which of the following statements are true? (Choose TWO)

Cloud SQL is optimized for high-throughput writes

Cloud SQL is optimized for high-read data

BigQuery is a row-based storage

BigQuery is optimized for high-read data

5.

MULTIPLE SELECT QUESTION

1 min • 1 pt

Which of the following statements are true? (Select all 2 correct responses)

Map operations in a MapReduce can be performed by Combine transforms in Dataflow

Dataflow transforms support both batch and streaming pipelines

Dataflow executes Apache Beam pipelines

Side-inputs in Dataflow are a way to export data from one pipeline to share with another pipeline

6.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Cloud Data Fusion is the ideal solution when you need

to build visual pipelines

Built only for batch data pipelines

a data warehousing solution

low-latency and high throughput processing of streaming data

7.

MULTIPLE SELECT QUESTION

1 min • 1 pt

Which of the following practices help optimize BigQuery queries?

Avoid using unnecessary columns

Filter early and often

Put the largest table on the left

Use COUNT(DISTINCT) instead of APPROX_COUNT_DISTINCT

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