RealValidExam Data Engineer (GCP-DE) Questions have numerous benefits, including the ability to demonstrate to employers and clients that you have the necessary knowledge and skills to succeed in the actual GCP-DE exam. Certified professionals are often more sought after than their non-certified counterparts and are more likely to earn higher salaries and promotions. Moreover, cracking the Data Engineer (GCP-DE) exam helps to ensure that you stay up to date with the latest trends and developments in the industry, making you more valuable assets to your organization.
| Section | Weight | Objectives |
|---|---|---|
| Building and operationalizing data processing systems | 30% | - Data ingestion and transformation
|
| Designing data processing systems | 20% | - Storage and data modeling
|
| Maintaining and optimizing data and ML solutions | 20% | - Security and governance
|
| Operationalizing data and ML pipelines | 30% | - Monitoring and troubleshooting
|
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NEW QUESTION # 56
What are the minimum permissions needed for a service account used with Google Dataproc?
Answer: C
Explanation:
Service accounts authenticate applications running on your virtual machine instances to other Google Cloud Platform services. For example, if you write an application that reads and writes files on Google Cloud Storage, it must first authenticate to the Google Cloud Storage API. At a minimum, service accounts used with Cloud Dataproc need permissions to read and write to Google Cloud Storage, and to write to Google Cloud Logging.
Reference: https://cloud.google.com/dataproc/docs/concepts/service-accounts#important_notes
NEW QUESTION # 57
Which of the following is NOT one of the three main types of triggers that Dataflow supports?
Answer: C
Explanation:
There are three major kinds of triggers that Dataflow supports: 1. Time-based triggers 2. Data-driven triggers. You can set a trigger to emit results from a window when that window has received a certain number of data elements. 3. Composite triggers. These triggers combine multiple time-based or data-driven triggers in some logical way Reference: https://cloud.google.com/dataflow/model/triggers
NEW QUESTION # 58
What are all of the BigQuery operations that Google charges for?
Answer: D
Explanation:
Google charges for storage, queries, and streaming inserts. Loading data from a file and exporting data are free operations.
Reference: https://cloud.google.com/bigquery/pricing
NEW QUESTION # 59
You work for a global shipping company. You want to train a model on 40 TB of data to predict which ships in each geographic region are likely to cause delivery delays on any given day. The model will be based on multiple attributes collected from multiple sources. Telemetry data, including location in GeoJSON format, will be pulled from each ship and loaded every hour. You want to have a dashboard that shows how many and which ships are likely to cause delays within a region. You want to use a storage solution that has native functionality for prediction and geospatial processing. Which storage solution should you use?
Answer: A
NEW QUESTION # 60
Your company produces 20,000 files every hour. Each data file is formatted as a comma separated values (CSV) file that is less than 4 KB. All files must be ingested on Google Cloud Platform before they can be processed. Your company site has a 200 ms latency to Google Cloud, and your Internet connection bandwidth is limited as 50 Mbps. You currently deploy a secure FTP (SFTP) server on a virtual machine in Google Compute Engine as the data ingestion point. A local SFTP client runs on a dedicated machine to transmit the CSV files as is. The goal is to make reports with data from the previous day available to the executives by 10:00 a.m. each day. This design is barely able to keep up with the current volume, even though the bandwidth utilization is rather low.
You are told that due to seasonality, your company expects the number of files to double for the next three months. Which two actions should you take? (choose two.)
Answer: A,B
NEW QUESTION # 61
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