Google Cloud Data Engineer Professional Professional Data Engineer Dumps in PDF

Free Google Professional Data Engineer Real Questions (page: 2)

Your weather app queries a database every 15 minutes to get the current temperature. The frontend is powered by Google App Engine and server millions of users. How should you design the frontend to respond to a database failure?

  1. Issue a command to restart the database servers.
  2. Retry the query with exponential backoff, up to a cap of 15 minutes.
  3. Retry the query every second until it comes back online to minimize staleness of data.
  4. Reduce the query frequency to once every hour until the database comes back online.

Answer(s): B

Explanation:

https://cloud.google.com/sql/docs/mysql/manage-connections#backoff



You are creating a model to predict housing prices. Due to budget constraints, you must run it on a single resource-constrained virtual machine.
Which learning algorithm should you use?

  1. Linear regression
  2. Logistic classification
  3. Recurrent neural network
  4. Feedforward neural network

Answer(s): A



You are building new real-time data warehouse for your company and will use Google BigQuery streaming inserts. There is no guarantee that data will only be sent in once but you do have a unique ID for each row of data and an event timestamp. You want to ensure that duplicates are not included while interactively querying dat

  1. Which query type should you use?
  2. Include ORDER BY DESK on timestamp column and LIMIT to 1.
  3. Use GROUP BY on the unique ID column and timestamp column and SUM on the values.
  4. Use the LAG window function with PARTITION by unique ID along with WHERE LAG IS NOT NULL.
  5. Use the ROW_NUMBER window function with PARTITION by unique ID along with WHERE row equals 1.

Answer(s): D

Explanation:

https://cloud.google.com/bigquery/docs/reference/standard-sql/analytic-function-concepts



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?

  1. `bigquery-public-data.noaa_gsod.gsod`
  2. bigquery-public-data.noaa_gsod.gsod*
  3. `bigquery-public-data.noaa_gsod.gsod'*
  4. `bigquery-public-data.noaa_gsod.gsod*`

Answer(s): D



Your company is in a highly regulated industry. One of your requirements is to ensure individual users have access only to the minimum amount of information required to do their jobs. You want to enforce this requirement with Google BigQuery.
Which three approaches can you take? (Choose three.)

  1. Disable writes to certain tables.
  2. Restrict access to tables by role.
  3. Ensure that the data is encrypted at all times.
  4. Restrict BigQuery API access to approved users.
  5. Segregate data across multiple tables or databases.
  6. Use Google Stackdriver Audit Logging to determine policy violations.

Answer(s): B,D,F



Share your comments for Google Professional Data Engineer exam with other users:

A
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8/30/2023 10:58:00 PM

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SH
5/16/2023 1:43:00 PM

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9/6/2023 3:02:00 PM

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11/24/2023 4:02:00 AM

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Divya
8/2/2023 6:54:00 AM

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R
Rakesh
10/6/2023 3:06:00 AM

question 59 - a newly-created role is not assigned to any user, nor granted to any other role. answer is b https://docs.snowflake.com/en/user-guide/security-access-control-overview

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8/27/2023 10:05:00 AM

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11/3/2023 10:45:00 AM

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6/11/2022 9:43:00 AM

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C
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10/10/2023 10:09:00 AM

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12/28/2023 9:06:00 AM

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11/20/2023 9:28:00 AM

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Muhammad Rawish Siddiqui
12/8/2023 8:12:00 PM

question # 232: accessibility, privacy, and innovation are not data quality dimensions.

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Doc
10/29/2023 9:36:00 PM

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It‘s not A
9/17/2023 5:31:00 PM

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