EVALUATE YOUR EXAM PREPARATION WITH ONLINE GOOGLE PROFESSIONAL-DATA-ENGINEER PRACTICE TEST ENGINE

Evaluate Your Exam Preparation with Online Google Professional-Data-Engineer Practice Test Engine

Evaluate Your Exam Preparation with Online Google Professional-Data-Engineer Practice Test Engine

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Google Certified Professional Data Engineer Exam Sample Questions (Q326-Q331):

NEW QUESTION # 326
You are building a model to make clothing recommendations. You know a user's fashion preference is likely to change over time, so you build a data pipeline to stream new data back to the model as it becomes available.
How should you use this data to train the model?

  • A. Continuously retrain the model on just the new data.
  • B. Continuously retrain the model on a combination of existing data and the new data.
  • C. Train on the new data while using the existing data as your test set.
  • D. Train on the existing data while using the new data as your test set.

Answer: D

Explanation:
https://cloud.google.com/automl-tables/docs/prepare


NEW QUESTION # 327
Your company is streaming real-time sensor data from their factory floor into Bigtable and they have
noticed extremely poor performance. How should the row key be redesigned to improve Bigtable
performance on queries that populate real-time dashboards?

  • A. Use a row key of the form >#<sensorid>#<timestamp>.
  • B. Use a row key of the form <sensorid>.
  • C. Use a row key of the form <timestamp>#<sensorid>.
  • D. Use a row key of the form <timestamp>.

Answer: D


NEW QUESTION # 328
You are planning to migrate your current on-premises Apache Hadoop deployment to the cloud. You need to ensure that the deployment is as fault-tolerant and cost-effective as possible for long-running batch jobs. You want to use a managed service. What should you do?

  • A. Install Hadoop and Spark on a 10-node Compute Engine instance group with standard instances. Install the Cloud Storage connector, and store the data in Cloud Storage. Change references in scripts from hdfs:// to gs://
  • B. Install Hadoop and Spark on a 10-node Compute Engine instance group with preemptible instances. Store data in HDFS. Change references in scripts from hdfs:// to gs://
  • C. Deploy a Cloud Dataproc cluster. Use an SSD persistent disk and 50% preemptible workers. Store data in Cloud Storage, and change references in scripts from hdfs:// to gs://
  • D. Deploy a Cloud Dataproc cluster. Use a standard persistent disk and 50% preemptible workers. Store data in Cloud Storage, and change references in scripts from hdfs:// to gs://

Answer: D


NEW QUESTION # 329
You are choosing a NoSQL database to handle telemetry data submitted from millions of Internet-of-Things (IoT) devices. The volume of data is growing at 100 TB per year, and each data entry has about 100 attributes.
The data processing pipeline does not require atomicity, consistency, isolation, and durability (ACID). However, high availability and low latency are required.
You need to analyze the data by querying against individual fields. Which three databases meet your requirements? (Choose three.)

  • A. Cassandra
  • B. MySQL
  • C. MongoDB
  • D. Redis
  • E. HBase
  • F. HDFS with Hive

Answer: C,E,F


NEW QUESTION # 330
You create an important report for your large team in Google Data Studio 360. The report uses Google BigQuery as its data source. You notice that visualizations are not showing data that is less than 1 hour old.
What should you do?

  • A. Clear your browser history for the past hour then reload the tab showing the virtualizations.
  • B. Disable caching in BigQuery by editing table details.
  • C. Refresh your browser tab showing the visualizations.
  • D. Disable caching by editing the report settings.

Answer: D

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


NEW QUESTION # 331
......

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