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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Ingesting and processing data | 25% | - Transforming data
|
| Topic 2: Maintaining and automating data workloads | 18% | - Automation and optimization
|
| Topic 3: Preparing data for analysis and machine learning | 13% | - Preparing data for ML
|
| Topic 4: Storing and managing data | 20% | - Implementing storage solutions
|
| Topic 5: Designing data processing systems | 24% | - Planning data solutions
|
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NEW QUESTION # 23
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 # 24
You are designing the database schema for a machine learning-based food ordering service that will predict what users want to eat. Here is some of the information you need to store:
The user profile: What the user likes and doesn't like to eat
The user account information: Name, address, preferred meal times
The order information: When orders are made, from where, to whom
The database will be used to store all the transactional data of the product. You want to optimize the data schem a. Which Google Cloud Platform product should you use?
Answer: B
NEW QUESTION # 25
You are a retailer that wants to integrate your online sales capabilities with different in-home assistants, such as Google Home. You need to interpret customer voice commands and issue an order to the backend systems. Which solutions should you choose?
Answer: A
NEW QUESTION # 26
What are the minimum permissions needed for a service account used with Google Dataproc?
Answer: B
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 # 27
You are implementing several batch jobs that must be executed on a schedule. These jobs have many interdependent steps that must be executed in a specific order. Portions of the jobs involve executing shell scripts, running Hadoop jobs, and running queries in BigQuery. The jobs are expected to run for many minutes up to several hours. If the steps fail, they must be retried a fixed number of times. Which service should you use to manage the execution of these jobs?
Answer: D
NEW QUESTION # 28
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