TOP GCP-DE Test Lab Questions - Google Data Engineer - Valid New GCP-DE Real Exam

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Google GCP-DE Exam Syllabus Topics:

SectionWeightObjectives
Building and operationalizing data processing systems30%- Data ingestion and transformation
  • 1. Pub/Sub streaming ingestion
    • 2. ETL/ELT workflows
      - Data pipeline implementation
      • 1. Dataproc and Spark-based processing
        • 2. Dataflow pipeline development
          Designing data processing systems20%- Data pipeline architecture design
          • 1. Scalable data ingestion design
            • 2. Batch vs streaming data processing selection
              - Storage and data modeling
              • 1. Data warehouse design using BigQuery
                • 2. Data lake architecture on Google Cloud Storage
                  Operationalizing data and ML pipelines30%- Monitoring and troubleshooting
                  • 1. Performance optimization and debugging
                    • 2. Logging and observability
                      - Pipeline automation and orchestration
                      • 1. Cloud Composer workflows
                        • 2. Scheduling and monitoring pipelines
                          Maintaining and optimizing data and ML solutions20%- Security and governance
                          • 1. IAM and access control
                            • 2. Data encryption and compliance
                              - Machine learning integration
                              • 1. Vertex AI integration for pipelines
                                • 2. BigQuery ML usage

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                                  Google Data Engineer Sample Questions (Q74-Q79):

                                  NEW QUESTION # 74
                                  You have a data pipeline with a Cloud Dataflow job that aggregates and writes time series metrics to Cloud Bigtable. This data feeds a dashboard used by thousands of users across the organization. You need to support additional concurrent users and reduce the amount of time required to write the dat a. Which two actions should you take? (Choose two.)

                                  Answer: A,B


                                  NEW QUESTION # 75
                                  All Google Cloud Bigtable client requests go through a front-end server they are sent to a Cloud Bigtable node.

                                  Answer: D

                                  Explanation:
                                  In a Cloud Bigtable architecture all client requests go through a front-end server before they are sent to a Cloud Bigtable node.
                                  The nodes are organized into a Cloud Bigtable cluster, which belongs to a Cloud Bigtable instance, which is a container for the cluster. Each node in the cluster handles a subset of the requests to the cluster.
                                  When additional nodes are added to a cluster, you can increase the number of simultaneous requests that the cluster can handle, as well as the maximum throughput for the entire cluster.
                                  Reference: https://cloud.google.com/bigtable/docs/overview


                                  NEW QUESTION # 76
                                  You work for a large fast food restaurant chain with over 400,000 employees. You store employee information in Google BigQuery in a Users table consisting of a FirstName field and a LastName field. A member of IT is building an application and asks you to modify the schema and data in BigQuery so the application can query a FullName field consisting of the value of the FirstName field concatenated with a space, followed by the value of the LastName field for each employee. How can you make that data available while minimizing cost?

                                  Answer: C


                                  NEW QUESTION # 77
                                  You are developing a software application using Google's Dataflow SDK, and want to use conditional, for loops and other complex programming structures to create a branching pipeline. Which component will be used for the data processing operation?

                                  Answer: A

                                  Explanation:
                                  In Google Cloud, the Dataflow SDK provides a transform component. It is responsible for the data processing operation. You can use conditional, for loops, and other complex programming structure to create a branching pipeline.
                                  Reference: https://cloud.google.com/dataflow/model/programming-model


                                  NEW QUESTION # 78
                                  The YARN ResourceManager and the HDFS NameNode interfaces are available on a Cloud Dataproc cluster .

                                  Answer: D

                                  Explanation:
                                  The YARN ResourceManager and the HDFS NameNode interfaces are available on a Cloud Dataproc cluster master node. The cluster master-host-name is the name of your Cloud Dataproc cluster followed by an -m suffix-for example, if your cluster is named "my-cluster", the master-host-name would be "my-cluster-m". Reference: https://cloud.google.com/dataproc/docs/concepts/cluster-web-interfaces#interfaces


                                  NEW QUESTION # 79
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