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Valid Professional-Data-Engineer Exam Dumps - Pass Professional-Data-Engineer exam successfully

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Valid Professional-Data-Engineer Exam Dumps - Pass Professional-Data-Engineer exam successfully

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  1. Google Professional-Data-Engineer Exam Google Cloud Data Engineer Professional Thank you for Downloading Professional-Data-Engineer exam PDF Demo Buy Full Product Here: https://dumpsarchive.com/dumps/Professional-Data-Engineer/ Questions & Answers (Demo Version --- Limited Edition)

  2. s@lm@n Google Exam Professional-Data-Engineer Professional Data Engineer Exam Version: 5.0 [ Free Questions ]

  3. Google Professional-Data-Engineer : Practice Test Question No : 75 When using Cloud Dataproc clusters, you can access the YARN web interface by configuring a browser to connect through a ____ proxy. A. HTTPS B. VPN C. SOCKS D. HTTP Answer: C Explanation: When using Cloud Dataproc clusters, configure your browser to use the SOCKS proxy. The SOCKS proxy routes data intended for the Cloud Dataproc cluster through an SSH tunnel. Reference: https://cloud.google.com/dataproc/docs/concepts/cluster-web- interfaces#interfaces Question No : 76 Which of these sources can you not load data into BigQuery from? A. File upload B. Google Drive C. Google Cloud Storage D. Google Cloud SQL Answer: D Explanation: You can load data into BigQuery from a file upload, Google Cloud Storage, Google Drive, or Google Cloud Bigtable. It is not possible to load data into BigQuery directly from Google Cloud SQL. One way to get data from Cloud SQL to BigQuery would be to export data from Cloud SQL to Cloud Storage and then load it from there. Reference: https://cloud.google.com/bigquery/loading-data 45

  4. Google Professional-Data-Engineer : Practice Test Question No : 77 The CUSTOM tier for Cloud Machine Learning Engine allows you to specify the number of which types of cluster nodes? A. Workers B. Masters, workers, and parameter servers C. Workers and parameter servers D. Parameter servers Answer: C Explanation: The CUSTOM tier is not a set tier, but rather enables you to use your own cluster specification. When you use this tier, set values to configure your processing cluster according to these guidelines: You must set TrainingInput.masterType to specify the type of machine to use for your master node. You may set TrainingInput.workerCount to specify the number of workers to use. You may set TrainingInput.parameterServerCount to specify the number of parameter servers to use. You can specify the type of machine for the master node, but you can't specify more than one master node. Reference: https://cloud.google.com/ml-engine/docs/training- overview#job_configuration_parameters Question No : 78 What Dataflow concept determines when a Window's contents should be output based on certain criteria being met? A. Sessions B. OutputCriteria C. Windows 46

  5. Google Professional-Data-Engineer : Practice Test D. Triggers Answer: D Explanation: Triggers control when the elements for a specific key and window are output. As elements arrive, they are put into one or more windows by a Window transform and its associated WindowFn, and then passed to the associated Trigger to determine if the Windows contents should be output. Reference: https://cloud.google.com/dataflow/java- sdk/JavaDoc/com/google/cloud/dataflow/sdk/transforms/windowing/Trigger 47

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