PROFESSIONAL-DATA-ENGINEER LATEST TEST ONLINE | PROFESSIONAL-DATA-ENGINEER LATEST EXAM PREPARATION

Professional-Data-Engineer Latest Test Online | Professional-Data-Engineer Latest Exam Preparation

Professional-Data-Engineer Latest Test Online | Professional-Data-Engineer Latest Exam Preparation

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Google certification will be a qualification assess standard for experienced workers, it is also a breakthrough for some workers who are in bottleneck. Professional-Data-Engineer new test camp materials are a good helper. For most IT workers it also increases career chances. For companies one certification increases strong competitive power. Professional-Data-Engineer New Test Camp materials will make you stand out from peers in this field applicable in all over the world.

Google Professional-Data-Engineer Certification is a valuable asset for data professionals who are seeking to advance their career in the field of data engineering. It demonstrates that a candidate has the skills and knowledge required to design, build, and maintain data processing systems on Google Cloud Platform, which is a highly sought-after skill in today’s data-driven world.

Google Certified Professional Data Engineer Exam Sample Questions (Q340-Q345):

NEW QUESTION # 340
Your company uses a proprietary system to send inventory data every 6 hours to a data ingestion service
in the cloud. Transmitted data includes a payload of several fields and the timestamp of the transmission. If
there are any concerns about a transmission, the system re-transmits the data. How should you
deduplicate the data most efficiency?

  • A. Maintain a database table to store the hash value and other metadata for each data entry.
  • B. Store each data entry as the primary key in a separate database and apply an index.
  • C. Assign global unique identifiers (GUID) to each data entry.
  • D. Compute the hash value of each data entry, and compare it with all historical data.

Answer: A


NEW QUESTION # 341
You are running a pipeline in Cloud Dataflow that receives messages from a Cloud Pub/Sub topic and writes the results to a BigQuery dataset in the EU. Currently, your pipeline is located in europe-west4 and has a maximum of 3 workers, instance type n1-standard-1. You notice that during peak periods, your pipeline is struggling to process records in a timely fashion, when all 3 workers are at maximum CPU utilization. Which two actions can you take to increase performance of your pipeline? (Choose two.)

  • A. Create a temporary table in Cloud Spanner that will act as a buffer for new data. Create a new step in your pipeline to write to this table first, and then create a new pipeline to write from Cloud Spanner to BigQuery
  • B. Change the zone of your Cloud Dataflow pipeline to run in us-central1
  • C. Increase the number of max workers
  • D. Create a temporary table in Cloud Bigtable that will act as a buffer for new data. Create a new step in your pipeline to write to this table first, and then create a new pipeline to write from Cloud Bigtable to BigQuery
  • E. Use a larger instance type for your Cloud Dataflow workers

Answer: A,E

Explanation:
Explanation/Reference:


NEW QUESTION # 342
You are responsible for writing your company's ETL pipelines to run on an Apache Hadoop cluster. The pipeline will require some checkpointing and splitting pipelines. Which method should you use to write the pipelines?

  • A. PigLatin using Pig
  • B. Java using MapReduce
  • C. HiveQL using Hive
  • D. Python using MapReduce

Answer: A

Explanation:
Pig is scripting language which can be used for checkpointing and splitting pipelines.


NEW QUESTION # 343
You want to process payment transactions in a point-of-sale application that will run on Google Cloud Platform. Your user base could grow exponentially, but you do not want to manage infrastructure scaling.
Which Google database service should you use?

  • A. Cloud Datastore
  • B. BigQuery
  • C. Cloud SQL
  • D. Cloud Bigtable

Answer: A

Explanation:
https://cloud.google.com/datastore/docs/concepts/overview


NEW QUESTION # 344
You are operating a Cloud Dataflow streaming pipeline. The pipeline aggregates events from a Cloud Pub/Sub subscription source, within a window, and sinks the resulting aggregation to a Cloud Storage bucket. The source has consistent throughput. You want to monitor an alert on behavior of the pipeline with Cloud Stackdriver to ensure that it is processing dat
a. Which Stackdriver alerts should you create?

  • A. An alert based on an increase of instance/storage/used_bytes for the source and a rate of change decrease of subscription/num_undelivered_messages for the destination
  • B. An alert based on a decrease of instance/storage/used_bytes for the source and a rate of change increase of subscription/num_undelivered_messages for the destination
  • C. An alert based on a decrease of subscription/num_undelivered_messages for the source and a rate of change increase of instance/storage/used_bytes for the destination
  • D. An alert based on an increase of subscription/num_undelivered_messages for the source and a rate of change decrease of instance/storage/used_bytes for the destination

Answer: D


NEW QUESTION # 345
......

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