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Google GCP-DE Exam Syllabus Topics:

Section	Weight	Objectives
Maintaining and optimizing data and ML solutions	20%	- Machine learning integration 1. BigQuery ML usage 2. Vertex AI integration for pipelines - Security and governance 1. IAM and access control 2. Data encryption and compliance
Designing data processing systems	20%	- Storage and data modeling 1. Data warehouse design using BigQuery 2. Data lake architecture on Google Cloud Storage - Data pipeline architecture design 1. Batch vs streaming data processing selection 2. Scalable data ingestion design
Building and operationalizing data processing systems	30%	- Data ingestion and transformation 1. ETL/ELT workflows 2. Pub/Sub streaming ingestion - Data pipeline implementation 1. Dataproc and Spark-based processing 2. Dataflow pipeline development
Operationalizing data and ML pipelines	30%	- 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

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Google Data Engineer Sample Questions (Q28-Q33):

NEW QUESTION # 28
You are building a model to predict whether or not it will rain on a given day. You have thousands of input features and want to see if you can improve training speed by removing some features while having a minimum effect on model accuracy. What can you do?

A. Instead of feeding in each feature individually, average their values in batches of 3.
B. Remove the features that have null values for more than 50% of the training records.
C. Eliminate features that are highly correlated to the output labels.
D. Combine highly co-dependent features into one representative feature.

Answer: D

NEW QUESTION # 29
What are all of the BigQuery operations that Google charges for?

A. Queries and streaming inserts
B. Storage, queries, and loading data from a file
C. Storage, queries, and streaming inserts
D. Storage, queries, and exporting data

Answer: C

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 # 30
You work for a mid-sized enterprise that needs to move its operational system transaction data from an on-premises database to GCP. The database is about 20 TB in size. Which database should you choose?

A. Cloud Datastore
B. Cloud Spanner
C. Cloud Bigtable
D. Cloud SQL

Answer: D

NEW QUESTION # 31
You need to deploy additional dependencies to all of a Cloud Dataproc cluster at startup using an existing initialization action. Company security policies require that Cloud Dataproc nodes do not have access to the Internet so public initialization actions cannot fetch resources. What should you do?

A. Copy all dependencies to a Cloud Storage bucket within your VPC security perimeter
B. Use an SSH tunnel to give the Cloud Dataproc cluster access to the Internet
C. Use Resource Manager to add the service account used by the Cloud Dataproc cluster to the Network User role
D. Deploy the Cloud SQL Proxy on the Cloud Dataproc master

Answer: C

NEW QUESTION # 32
You are planning to migrate your current on-premises Apache Hadoop deployment to the cloud. You need to ensure that the deployment is as fault-tolerant and cost-effective as possible for long-running batch jobs. You want to use a managed service. What should you do?

A. Install Hadoop and Spark on a 10-node Compute Engine instance group with preemptible instances.Store data in HDF
B. Use a standard persistent disk and 50% preemptible worker
C. Deploy a Cloud Dataproc cluste
D. Store data in Cloud Storage, and change references in scripts from hdfs:// to gs://
E. Store data in Cloud Storage, and change references in scripts from hdfs:// to gs://
F. Install the Cloud Storage connector, and store the data in Cloud Storag
G. Change references in scripts from hdfs:// to gs://
H. Install Hadoop and Spark on a 10-node Compute Engine instance group with standard instance
I. Use an SSD persistent disk and 50% preemptible worker
J. Deploy a Cloud Dataproc cluste
K. Change references in scripts from hdfs:// to gs://

Answer: C

NEW QUESTION # 33
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