Google ADP유효한덤프, ADP퍼펙트덤프최신문제

DumpTOP의 Google인증 ADP덤프는 다른 덤프판매 사이트보다 저렴한 가격으로 여러분들께 가볍게 다가갑니다. Google인증 ADP덤프는 기출문제와 예상문제로 되어있어 시험패스는 시간문제뿐입니다.
Google ADP Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Data Management and Governance | 25% | - Data quality and maintenance
- 1. Data lifecycle management
- 2. Data validation and cleaning
- Data security and access control
- 1. Data encryption and protection
- 2. IAM roles and permissions
- Compliance and governance
- 1. Data privacy and regulatory requirements
- 2. Data stewardship and cataloging
|
| Data Preparation and Ingestion | 30% | - Data formats and classification
- 1. Structured, semi-structured, unstructured data
- 2. Formats: CSV, JSON, Parquet, Avro, database tables
- Data extraction and transfer tools
- 1. Cloud Data Fusion, Storage Transfer Service
- 2. Dataflow, BigQuery Data Transfer Service, Database Migration Service
- Data loading methods
- 1. Batch and streaming ingestion
- 2. gcloud, BQ CLI, client libraries
- Storage solutions selection
- 1. Storage location types: regional, dual-regional, multi-regional, zonal
- 2. Cloud Storage, BigQuery, Cloud SQL, Firestore, Bigtable, Spanner
|
| Data Pipeline Orchestration | 18% | - Data transformation concepts
- 1. ETL vs ELT processes
- 2. Data transformation requirements
- Pipeline automation and scheduling
- 1. Schedule and monitor data jobs
- 2. Error handling and monitoring
- Transformation tools selection
- 1. Dataproc, Dataflow, Cloud Data Fusion, Cloud Composer, Dataform
|
| Data Analysis and Presentation | 27% | - Business intelligence and decision support
- 1. Communicate findings effectively
- 2. Answer business questions with data
- Data exploration and analysis
- 1. Identify trends, patterns, insights
- 2. Jupyter notebooks for analysis
- 3. BigQuery SQL queries
- Data visualization and reporting
- 1. Visualization best practices
- 2. Looker dashboards and reports
|
>> Google ADP유효한 덤프 <<
Google ADP퍼펙트 덤프 최신문제 - ADP질문과 답
DumpTOP는 Google인증관련덤프를 제공하는 최고의 업체입니다, 덤프들은 DumpTOP의 베터랑의 전문가들이 오랜 풍부한 경험과 ADP지식으로 만들어낸 최고의 제품입니다. 그리고 우리는 온라인무료 서비스도 제공되어 제일 빠른 시간에 소통 상담이 가능합니다.
최신 Google Cloud Certified ADP 무료샘플문제 (Q60-Q65):
질문 # 60
You are migrating data from a legacy on-premises MySQL database to Google Cloud. The database contains various tables with different data types and sizes, including large tables with millions of rows and transactional dat a. You need to migrate this data while maintaining data integrity, and minimizing downtime and cost. What should you do?
- A. Use Database Migration Service to replicate the MySQL database to a Cloud SQL for MySQL instance.
- B. Set up a Cloud Composer environment to orchestrate a custom data pipeline. Use a Python script to extract data from the MySQL database and load it to MySQL on Compute Engine.
- C. Export the MySQL database to CSV files, transfer the files to Cloud Storage by using Storage Transfer Service, and load the files into a Cloud SQL for MySQL instance.
- D. Use Cloud Data Fusion to migrate the MySQL database to MySQL on Compute Engine.
정답:A
질문 # 61
Your company is building a near real-time streaming pipeline to process JSON telemetry data from small appliances. You need to process messages arriving at a Pub/Sub topic, capitalize letters in the serial number field, and write results to BigQuery. You want to use a managed service and write a minimal amount of code for underlying transformations. What should you do?
- A. Use a Pub/Sub push subscription, write a Cloud Run service that accepts the messages, performs the transformations, and writes the results to BigQuery.
- B. Use a Pub/Sub to Cloud Storage subscription, write a Cloud Run service that is triggered when objects arrive in the bucket, performs the transformations, and writes the results to BigQuery.
- C. Use the "Pub/Sub to BigQuery" Dataflow template with a UDF, and write the results to BigQuery.
- D. Use a Pub/Sub to BigQuery subscription, write results directly to BigQuery, and schedule a transformation query to run every five minutes.
정답:C
질문 # 62
Your organization has decided to move their on-premises Apache Spark-based workload to Google Cloud.
You want to be able to manage the code without needing to provision and manage your own cluster. What should you do?
- A. Configure a Google Kubernetes Engine cluster with Spark operators, and deploy the Spark jobs.
- B. Migrate the Spark jobs to Dataproc on Compute Engine.
- C. Migrate the Spark jobs to Dataproc Serverless.
- D. Migrate the Spark jobs to Dataproc on Google Kubernetes Engine.
정답:C
질문 # 63
Your team is building several data pipelines that contain a collection of complex tasks and dependencies that you want to execute on a schedule, in a specific order. The tasks and dependencies consist of files in Cloud Storage, Apache Spark jobs, and data in BigQuery. You need to design a system that can schedule and automate these data processing tasks using a fully managed approach. What should you do?
- A. Create directed acyclic graphs (DAGS) in Cloud Composer. Use the appropriate operators to connect to Cloud Storage, Spark, and BigQuery.
- B. Use Cloud Tasks to schedule and run the jobs asynchronously.
- C. Create directed acyclic graphs (DAGS) in Apache Airflow deployed on Google Kubernetes Engine. Use the appropriate operators to connect to Cloud Storage, Spark, and BigQuery.
- D. Use Cloud Scheduler to schedule the jobs to run.
정답:A
질문 # 64
Your organization has several datasets in BigQuery. The datasets need to be shared with your external partners so that they can run SQL queries without needing to copy the data to their own projects. You have organized each partner's data in its own BigQuery dataset. Each partner should be able to access only their dat a. You want to share the data while following Google-recommended practices. What should you do?
- A. Export the BigQuery data to a Cloud Storage bucket. Grant the partners the storage.objectUser IAM role on the bucket.
- B. Create a Dataflow job that reads from each BigQuery dataset and pushes the data into a dedicated Pub /Sub topic for each partner. Grant each partner the pubsub. subscriber IAM role.
- C. Use Analytics Hub to create a listing on a private data exchange for each partner dataset. Allow each partner to subscribe to their respective listings.
- D. Grant the partners the bigquery.user IAM role on the BigQuery project.
정답:C
질문 # 65
......
Google인증 ADP시험을 패스하여 자격증을 취득하는게 꿈이라구요? DumpTOP에서 고객님의Google인증 ADP시험패스꿈을 이루어지게 지켜드립니다. DumpTOP의 Google인증 ADP덤프는 가장 최신시험에 대비하여 만들어진 공부자료로서 시험패스는 한방에 끝내줍니다.
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