Exam Google Professional-Data-Engineer Objectives & Test Professional-Data-Engineer Registration

BTW, DOWNLOAD part of TrainingDumps Professional-Data-Engineer dumps from Cloud Storage: https://drive.google.com/open?id=1uthzHwmDZN-rsjDZbPi4HjCL_w-PSHcC

The TrainingDumps is a leading platform that has been helping the Google Professional-Data-Engineer exam aspirants for many years. Over this long time period, thousands of Google Professional-Data-Engineer Exam candidates have passed their dream Professional-Data-Engineer certification exam and have become a member of Google Professional-Data-Engineer certification exam community.

Google Professional-Data-Engineer Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Storing the data (~20% of the exam)20%- Using a data lake
  • 1. Monitoring the data lake
  • 2. Managing the lake (data discovery, access, cost controls)
  • 3. Processing data
- Designing for a data platform
  • 1. Building a data platform using Dataplex, Dataplex Catalog, BigQuery, Cloud Storage
  • 2. Building a federated governance model for distributed data systems
- Planning for using a data warehouse
  • 1. Deciding the degree of data normalization
  • 2. Defining architecture to support data access patterns
  • 3. Mapping business requirements
  • 4. Designing the data model
- Selecting storage systems
  • 1. Lifecycle management of data
  • 2. Analyzing data access patterns
  • 3. Planning for storage costs and performance
Topic 2: Preparing and using data for analysis (~15% of the exam)15%- Sharing data securely
  • 1. Data sharing and collaboration
  • 2. Publishing datasets
- Preparing data for visualization
  • 1. Preparing data for reporting and dashboards
  • 2. Connecting to Looker and other BI tools
Topic 3: Maintaining and automating data workloads (~15% of the exam)15%- Designing for reliability and fidelity
  • 1. Performing data quality and validation checks
  • 2. Planning for monitoring and alerting
  • 3. Recovering from failures
- Automating data processes
  • 1. Scheduling jobs
  • 2. Workflow orchestration
  • 3. Continuous integration and continuous deployment (CI/CD)
- Monitoring data pipelines and data processes
  • 1. Managing quotas and resource usage
  • 2. Logging, monitoring, and troubleshooting
Topic 4: Designing data processing systems (~30% of the exam)30%- Designing data processing resources
  • 1. Compute options (Dataflow, Dataproc, Dataplex, Cloud Functions, Cloud Run)
  • 2. Cost optimization
  • 3. Cluster sizing and autoscaling
- Designing data pipelines
  • 1. Streaming (e.g., windowing, late arriving data)
  • 2. Data acquisition and import
  • 3. Batch processing
  • 4. Processing logic
  • 5. Integrating with new data sources
  • 6. AI data enrichment
- Selecting appropriate storage technologies
  • 1. Mapping storage options to business requirements
  • 2. Choosing between BigQuery, Bigtable, Spanner, Cloud SQL, Cloud Storage, Firestore, Memorystore, AlloyDB
Topic 5: Ingesting and processing the data (~20% of the exam)20%- Performing security considerations
  • 1. Data encryption
  • 2. Identity and Access Management (IAM)
  • 3. Auditing, privacy, and compliance
- Building and maintaining data structures and databases
  • 1. Defining data lifecycle
  • 2. Planning for analytical and operational use cases
- Deploying and operationalizing the pipelines
  • 1. CI/CD for data pipelines
  • 2. Job automation and orchestration (Cloud Composer, Workflows)

>> Exam Google Professional-Data-Engineer Objectives <<

Test Professional-Data-Engineer Registration - Valid Professional-Data-Engineer Practice Questions

You may urgently need to attend Professional-Data-Engineer certificate exam and get the certificate to prove you are qualified for the job in some area. But what certificate is valuable and useful and can help you a lot? Passing the test certification can help you prove that you are competent in some area and if you buy our Professional-Data-Engineer Study Materials you will pass the test almost without any problems. with a high pass rate as 98% to 100%, our Professional-Data-Engineer learning guide can be your best assistant on your way to success.

Google Certified Professional Data Engineer Exam Sample Questions (Q269-Q274):

NEW QUESTION # 269
Your company maintains a hybrid deployment with GCP, where analytics are performed on your anonymized customer data. The data are imported to Cloud Storage from your data center through parallel uploads to a data transfer server running on GCP. Management informs you that the daily transfers take too long and have asked you to fix the problem. You want to maximize transfer speeds. Which action should you take?

Answer: D


NEW QUESTION # 270
Which SQL keyword can be used to reduce the number of columns processed by BigQuery?

Answer: D

Explanation:
SELECT allows you to query specific columns rather than the whole table.
LIMIT, BETWEEN, and WHERE clauses will not reduce the number of columns processed by BigQuery.


NEW QUESTION # 271
You need to modernize your existing on-premises data strategy. Your organization currently uses:
- Apache Hadoop clusters for processing multiple large data sets,
including on-premises Hadoop Distributed File System (HDFS) for data
replication.
- Apache Airflow to orchestrate hundreds of ETL pipelines with
thousands of job steps.
You need to set up a new architecture in Google Cloud that can handle your Hadoop workloads and requires minimal changes to your existing orchestration processes. What should you do?

Answer: A


NEW QUESTION # 272
The CUSTOM tier for Cloud Machine Learning Engine allows you to specify the number of which types of cluster nodes?

Answer: D

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.


NEW QUESTION # 273
You need to create a SQL pipeline. The pipeline runs an aggregate SOL transformation on a BigQuery table every two hours and appends the result to another existing BigQuery table. You need to configure the pipeline to retry if errors occur. You want the pipeline to send an email notification after three consecutive failures.
What should you do?

Answer: D

Explanation:
To create a robust and resilient SQL pipeline in BigQuery that handles retries and failure notifications, consider the following:
BigQuery Scheduled Queries: This feature allows you to schedule recurring queries in BigQuery. It is a straightforward way to run SQL transformations on a regular basis without requiring extensive setup.
Error Handling and Retries: While BigQuery Scheduled Queries can run at specified intervals, they don't natively support complex retry logic or failure notifications directly. This is where additional Google Cloud services like Pub/Sub and Cloud Functions come into play.
Pub/Sub for Notifications: By configuring a BigQuery scheduled query to publish messages to a Pub/Sub topic upon failure, you can create a decoupled and scalable notification system.
Cloud Functions: Cloud Functions can subscribe to the Pub/Sub topic and implement logic to count consecutive failures. After detecting three consecutive failures, the Cloud Function can then send an email notification using a service like SendGrid or Gmail API.
Implementation Steps:
Set up a BigQuery Scheduled Query:
Create a scheduled query in BigQuery to run your SQL transformation every two hours.
Configure the scheduled query to publish a notification to a Pub/Sub topic in case of a failure.
Create a Pub/Sub Topic:
Create a Pub/Sub topic that will receive messages from the scheduled query.
Develop a Cloud Function:
Write a Cloud Function that subscribes to the Pub/Sub topic.
Implement logic in the Cloud Function to track failure messages. If three consecutive failure messages are detected, the function sends an email notification.
Reference Links:
BigQuery Scheduled Queries
Pub/Sub Documentation
Cloud Functions Documentation
SendGrid Email API
Gmail API


NEW QUESTION # 274
......

One more thing to give you an idea about the top features of Google Certified Professional Data Engineer Exam (Professional-Data-Engineer) exam questions before purchasing, the TrainingDumps are offering free Google Professional-Data-Engineer Exam Questions demo download facility. This facility is being offered in all three Google Professional-Data-Engineer exam practice question formats.

Test Professional-Data-Engineer Registration: https://www.trainingdumps.com/Professional-Data-Engineer_exam-valid-dumps.html

BONUS!!! Download part of TrainingDumps Professional-Data-Engineer dumps for free: https://drive.google.com/open?id=1uthzHwmDZN-rsjDZbPi4HjCL_w-PSHcC