GCP-DE Trainingsmaterialien: Data Engineer & GCP-DE Lernmittel & Google GCP-DE Quiz

Pass4Test ist eine Website, die Bequemlichkeiten für die Google GCP-DE Zertifizierungsprüfung bietet. Nach den Forschungen über die Fragen und Antworten in den letzten Jahren kann Pass4Test die Themen zur Google GCP-DE Zertifizierungsprüfung effektiv erfassen. Die Google GCP-DE Prüfungsübungen haben eine große Ähnlichkeit mit realen Prüfungen.

Google GCP-DE Exam Syllabus Topics:

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

>> GCP-DE Schulungsunterlagen <<

GCP-DE Prüfungs & GCP-DE Fragen Antworten

Während andere Leute noch überall die Prüfungsunterlagen für Google GCP-DE suchen, üben Sie schon verschiedene Prüfungsaufgaben. Sie können im Vorbereitungsphase schon ganz vorne liegen. Wir Pass4Test bieten Ihnen Google GCP-DE Prüfungsunterlagen mit reichliche Ressourcen. Sie dürfen auch die ganz realistische Prüfungsumwelt der Google GCP-DE Prüfung damit erfahren.

Google Data Engineer GCP-DE Prüfungsfragen mit Lösungen (Q46-Q51):

46. Frage
What are all of the BigQuery operations that Google charges for?

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

Antwort: A

Begründung:
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

47. Frage
You have historical data covering the last three years in BigQuery and a data pipeline that delivers new data to BigQuery daily. You have noticed that when the Data Science team runs a query filtered on a date column and limited to 30-90 days of data, the query scans the entire table. You also noticed that your bill is increasing more quickly than you expected. You want to resolve the issue as cost-effectively as possible while maintaining the ability to conduct SQL queries. What should you do?

A. Recommend that the Data Science team use wildcards on the table name suffixes to select the data they need.
B. Modify your pipeline to maintain the last 30-90 days of data in one table and the longer history in a different table to minimize full table scans over the entire history.
C. Partition the tables by a column containing a TIMESTAMP or DATE Type.
D. Recommend that the Data Science team export the table to a CSV file on Cloud Storage and use Cloud Datalab to explore the data by reading the files directly.
E. Write an Apache Beam pipeline that creates a BigQuery table per data
F. Re-create the tables using DD

Antwort: D

48. Frage
You used Cloud Dataprep to create a recipe on a sample of data in a BigQuery table. You want to reuse this recipe on a daily upload of data with the same schema, after the load job with variable execution time completes. What should you do?

A. Export the Cloud Dataprep job as a Cloud Dataflow template, and incorporate it into a Cloud Composer job.
B. Create a cron schedule in Cloud Dataprep.
C. Create an App Engine cron job to schedule the execution of the Cloud Dataprep job.
D. Export the recipe as a Cloud Dataprep template, and create a job in Cloud Scheduler.

Antwort: D

49. Frage
You launched a new gaming app almost three years ago. You have been uploading log files from the previous day to a separate Google BigQuery table with the table name format LOGS_yyyymmdd. You have been using table wildcard functions to generate daily and monthly reports for all time ranges. Recently, you discovered that some queries that cover long date ranges are exceeding the limit of 1,000 tables and failing. How can you resolve this issue?

A. Enable query caching so you can cache data from previous months
B. Create separate views to cover each month, and query from these views
C. Convert all daily log tables into date-partitioned tables
D. Convert the sharded tables into a single partitioned table

Antwort: C

50. Frage
You need to choose a database for a new project that has the following requirements:
Fully managed
Able to automatically scale up
Transactionally consistent
Able to scale up to 6 TB
Able to be queried using SQL Which database do you choose?

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

Antwort: D

51. Frage
......

Machen Sie sich noch Sorgen um die Google GCP-DE (Data Engineer) Zertifizierungsprüfung? Haben Sie schon mal gedacht, sich an einem entsprechenden Kurs teilzunehmen? Gute Prüfungsmaterialien zu wählen, wird Ihnen helfen, Ihre Fachkenntnisse zu konsolidieren und sich gut auf die Google GCP-DE Zertifizierungsprüfung vorbereiten. Das Expertenteam von Pass4Test hat endlich die neuesten zielgerichteten Schulungsunterlagen, die Ihnen beim Vorbereiten der Prüfung helfen, nach ihren Erfahrungen und Kenntnissen erforscht. Die Google GCP-DE Schulungsunterlagen von Pass4Test ist Ihre optimale Wahl.

GCP-DE Prüfungs: https://www.pass4test.de/GCP-DE.html