Professional-Data-Engineer Exam Torrents: Google Certified Professional Data Engineer Exam Prepare Torrents & Professional-Data-Engineer Test Braindumps

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Google Certified Professional Data Engineer Exam Sample Questions (Q206-Q211):

NEW QUESTION # 206
You are part of a healthcare organization where data is organized and managed by respective data owners in various storage services. As a result of this decentralized ecosystem, discovering and managing data has become difficult You need to quickly identify and implement a cost-optimized solution to assist your organization with the following
* Data management and discovery
* Data lineage tracking
* Data quality validation
How should you build the solution?

A. Use BigOuery to track data lineage, and use Dataprep to manage data and perform data quality validation.
B. Build a new data discovery tool on Google Kubernetes Engine that helps with new source onboarding and data lineage tracking.
C. Use BigLake to convert the current solution into a data lake architecture.
D. Use Dataplex to manage data, track data lineage, and perform data quality validation.

Answer: D

Explanation:
Dataplex is a Google Cloud service that provides a unified data fabric for data lakes and data warehouses. It enables data governance, management, and discovery across multiple data domains, zones, and assets. Dataplex also supports data lineage tracking, which shows the origin and transformation of data over time. Dataplex also integrates with Dataprep, a data preparation and quality tool that allows users to clean, enrich, and transform data using a visual interface. Dataprep can also monitor data quality and detect anomalies using machine learning. Therefore, Dataplex is the most suitable solution for the given scenario, as it meets all the requirements of data management and discovery, data lineage tracking, and data quality validation. Reference:
Dataplex overview
Automate data governance, extend your data fabric with Dataplex-BigLake integration Dataprep documentation

NEW QUESTION # 207
You are creating a new pipeline in Google Cloud to stream IoT data from Cloud Pub/Sub through Cloud Dataflow to BigQuery. While previewing the data, you notice that roughly 2% of the data appears to be corrupt. You need to modify the Cloud Dataflow pipeline to filter out this corrupt data. What should you do?

A. Add a Partition transform in Cloud Dataflow to separate valid data from corrupt data.
B. Add a GroupByKey transform in Cloud Dataflow to group all of the valid data together and discard the rest.
C. Add a SideInput that returns a Boolean if the element is corrupt.
D. Add a ParDo transform in Cloud Dataflow to discard corrupt elements.

Answer: D

NEW QUESTION # 208
You want to build a managed Hadoop system as your data lake. The data transformation process is composed of a series of Hadoop jobs executed in sequence. To accomplish the design of separating storage from compute, you decided to use the Cloud Storage connector to store all input data, output data, and intermediary data. However, you noticed that one Hadoop job runs very slowly with Cloud Dataproc, when compared with the on-premises bare-metal Hadoop environment (8-core nodes with 100-GB RAM). Analysis shows that this particular Hadoop job is disk I/O intensive. You want to resolve the issue. What should you do?

A. Allocate sufficient memory to the Hadoop cluster, so that the intermediary data of that particular Hadoop job can be held in memory
B. Allocate more CPU cores of the virtual machine instances of the Hadoop cluster so that the networking bandwidth for each instance can scale up
C. Allocate sufficient persistent disk space to the Hadoop cluster, and store the intermediate data of that particular Hadoop job on native HDFS
D. Allocate additional network interface card (NIC), and configure link aggregation in the operating system to use the combined throughput when working with Cloud Storage

Answer: A

NEW QUESTION # 209
You have several Spark jobs that run on a Cloud Dataproc cluster on a schedule. Some of the jobs run in sequence, and some of the jobs run concurrently. You need to automate this process. What should you do?

A. Create a Directed Acyclic Graph in Cloud Composer
B. Create a Bash script that uses the Cloud SDK to create a cluster, execute jobs, and then tear down the cluster
C. Create a Cloud Dataproc Workflow Template
D. Create an initialization action to execute the jobs

Answer: A

Explanation:
References:

NEW QUESTION # 210
You are training a spam classifier. You notice that you are overfitting the training data. Which three actions can you take to resolve this problem? (Choose three.)

A. Increase the regularization parameters
B. Get more training examples
C. Decrease the regularization parameters
D. Reduce the number of training examples
E. Use a smaller set of features
F. Use a larger set of features

Answer: B,C,F

Explanation:
Explanation/Reference:

NEW QUESTION # 211
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Professional-Data-Engineer Exam Torrents: Google Certified Professional Data Engineer Exam Prepare Torrents & Professional-Data-Engineer Test Braindumps

Professional-Data-Engineer Valid Test Answers & Exam Professional-Data-Engineer Collection Pdf

Google Certified Professional Data Engineer Exam Sample Questions (Q206-Q211):

Professional-Data-Engineer Real Questions – Best Material for Smooth Google Exam Preparation

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