GCP-DE : Data Engineer

今の社会はますます激しく変化しているから、私たちはいつまでも危機意識を強化します。キャンパス内の学生なり、社会人なり、Data Engineer試験に合格して対応認定資格を取得して、社会需要に応じて自分の能力を高めます。Xhs1991は最高のData Engineer試験勉強資料を開発し提供して、一番なサービスを与えて努力しています。

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Google Data Engineer 認定 GCP-DE 試験問題:

1. You operate an IoT pipeline built around Apache Kafka that normally receives around 5000 messages per second. You want to use Google Cloud Platform to create an alert as soon as the moving average over 1 hour drops below 4000 messages per second. What should you do?

A) Consume the stream of data in Cloud Dataflow using Kafka I
B) Consume the stream of data in Cloud Dataflow using Kafka I
C) Set a sliding time window of 1 hour every 5 minute
D) Use Kafka Connect to link your Kafka message queue to Cloud Pub/Su
E) Use Cloud Scheduler to run a script every hour that counts the number of rows created in Cloud Bigtable in the last hour
F) Compute the average when the window closes, and send an alert if the average is less than 4000 messages.
G) Set a fixed time window of 1 hour.Compute the average when the window closes, and send an alert if the average is less than 4000 messages.
H) Use a Cloud Dataflow template to write your messages from Cloud Pub/Sub to BigQuer
I) Use Cloud Scheduler to run a script every five minutes that counts the number of rows created in BigQuery in the last hour
J) Use Kafka Connect to link your Kafka message queue to Cloud Pub/Su
K) If that number falls below 4000, send an alert.
L) Use a Cloud Dataflow template to write your messages from Cloud Pub/Sub to Cloud Bigtabl
M) If that number falls below 4000, send an alert.

2. Suppose you have a table that includes a nested column called "city" inside a column called "person", but when you try to submit the following query in BigQuery, it gives you an error.
SELECT person FROM `project1.example.table1` WHERE city = "London"
How would you correct the error?

A) Change "person" to "person.city".
B) Add ", UNNEST(person)" before the WHERE clause.
C) Add ", UNNEST(city)" before the WHERE clause.
D) Change "person" to "city.person".

3. By default, which of the following windowing behavior does Dataflow apply to unbounded data sets?

A) Windows at every 1 minute
B) Windows at every 10 minutes
C) Single, Global Window
D) Windows at every 100 MB of data

4. You work for an economic consulting firm that helps companies identify economic trends as they happen. As part of your analysis, you use Google BigQuery to correlate customer data with the average prices of the 100 most common goods sold, including bread, gasoline, milk, and others. The average prices of these goods are updated every 30 minutes. You want to make sure this data stays up to date so you can combine it with other data in BigQuery as cheaply as possible. What should you do?

A) Store the data in a file in a regional Google Cloud Storage bucke
B) Store the data in Google Cloud Datastor
C) Use Google Cloud Dataflow to query BigQuery and combine the data programmatically with the data stored in Cloud Datastore
D) Use Cloud Dataflow to query BigQuery and combine the data programmatically with the data stored in Google Cloud Storage.
E) Store and update the data in a regional Google Cloud Storage bucket and create a federated data source in BigQuery
F) Load the data every 30 minutes into a new partitioned table in BigQuery.

5. Each analytics team in your organization is running BigQuery jobs in their own projects. You want to enable each team to monitor slot usage within their projects. What should you do?

A) Create an aggregated log export at the organization level, capture the BigQuery job execution logs, create a custom metric based on the totalSlotMs, and create a Stackdriver Monitoring dashboard based on the custom metric
B) Create a log export for each project, capture the BigQuery job execution logs, create a custom metric based on the totalSlotMs, and create a Stackdriver Monitoring dashboard based on the custom metric
C) Create a Stackdriver Monitoring dashboard based on the BigQuery metric slots/allocated_for_project
D) Create a Stackdriver Monitoring dashboard based on the BigQuery metric query/scanned_bytes

質問と回答：