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Understanding functional and technical aspects of Google Professional Data Engineer Exam Designing data processing systems

The following will be discussed here:

Tradeoffs involving latency, throughput, transactionsDesigning data processing systemsDistributed systemsSystem availability and fault toleranceDesigning data pipelinesHybrid cloud and edge computingData modelingUse of distributed systemsJob automation and orchestration (e.g., Cloud Composer)At least once, in-order, and exactly once, etc., event processingCapacity planningBatch and streaming data (e.g., Cloud Dataflow, Cloud Dataproc, Apache Beam, Apache Spark and Hadoop ecosystem, Cloud Pub/Sub, Apache Kafka)Choice of infrastructureSchema designMapping storage systems to business requirements

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Additionally, students can take multiple Google Professional-Data-Engineer exam questions, helping them to check and improve their performance. Three formats are prepared in such a way that by using them, candidates will feel confident and crack the Professional-Data-Engineer Google Certified Professional Data Engineer Exam actual exam. These three formats suit different preparation styles of Professional-Data-Engineer test takers.

Google Certified Professional Data Engineer Exam Sample Questions (Q82-Q87):

NEW QUESTION # 82
You need to move 2 PB of historical data from an on-premises storage appliance to Cloud Storage within six months, and your outbound network capacity is constrained to 20 Mb/sec. How should you migrate this data to Cloud Storage?

A. Use trickle or ionice along with gsutil cp to limit the amount of bandwidth gsutil utilizes to less than 20 Mb/ sec so it does not interfere with the production trafficB. Use Transfer Appliance to copy the data to Cloud StorageC. Use gsutil cp -Jto compress the content being uploaded to Cloud StorageD. Create a private URL for the historical data, and then use Storage Transfer Service to copy the data to Cloud Storage

Answer: B

Explanation:
Explanation/Reference:


NEW QUESTION # 83
You are migrating your data warehouse to BigQuery. You have migrated all of your data into tables in a dataset. Multiple users from your organization will be using the dat
a. They should only see certain tables based on their team membership. How should you set user permissions?

A. Assign the users/groups data viewer access at the table level for each tableB. Create SQL views for each team in the same dataset in which the data resides, and assign the users/groups data viewer access to the SQL viewsC. Create authorized views for each team in the same dataset in which the data resides, and assign the users/groups data viewer access to the authorized viewsD. Create authorized views for each team in datasets created for each team. Assign the authorized views data viewer access to the dataset in which the data resides. Assign the users/groups data viewer access to the datasets in which the authorized views reside

Answer: A


NEW QUESTION # 84
You are choosing a NoSQL database to handle telemetry data submitted from millions of Internet-of- Things (IoT) devices. The volume of data is growing at 100 TB per year, and each data entry has about
100 attributes. The data processing pipeline does not require atomicity, consistency, isolation, and durability (ACID). However, high availability and low latency are required. You need to analyze the data by querying against individual fields. Which three databases meet your requirements? (Choose three.)

A. MySQLB. MongoDBC. CassandraD. HBaseE. RedisF. HDFS with Hive

Answer: B,D,F


NEW QUESTION # 85
You are migrating a table to BigQuery and are deeding on the data model. Your table stores information related to purchases made across several store locations and includes information like the time of the transaction, items purchased, the store ID and the city and state in which the store is located You frequently query this table to see how many of each item were sold over the past 30 days and to look at purchasing trends by state city and individual store. You want to model this table to minimize query time and cost. What should you do?

A. Top-level cluster by store ID first, then city then state.B. Partition by transaction tome cluster by store ID first, then city, then staleC. Top-level cluster by stale first, then city then storeD. Partition by transaction time; cluster by state first, then city then store ID

Answer: C


NEW QUESTION # 86
You want to archive data in Cloud Storage. Because some data is very sensitive, you want to use the "Trust No One" (TNO) approach to encrypt your data to prevent the cloud provider staff from decrypting your dat
a. What should you do?

A. Use gcloud kms keys create to create a symmetric key. Then use gcloud kms encrypt to encrypt each archival file with the key. Use gsutil cp to upload each encrypted file to the Cloud Storage bucket. Manually destroy the key previously used for encryption, and rotate the key once and rotate the key once.B. Specify customer-supplied encryption key (CSEK) in the .boto configuration file. Use gsutil cp to upload each archival file to the Cloud Storage bucket. Save the CSEK in Cloud Memorystore as permanent storage of the secret.C. Specify customer-supplied encryption key (CSEK) in the .boto configuration file. Use gsutil cp to upload each archival file to the Cloud Storage bucket. Save the CSEK in a different project that only the security team can access.D. Use gcloud kms keys create to create a symmetric key. Then use gcloud kms encrypt to encrypt each archival file with the key and unique additional authenticated data (AAD). Use gsutil cp to upload each encrypted file to the Cloud Storage bucket, and keep the AAD outside of Google Cloud.

Answer: A


NEW QUESTION # 87
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