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Google Certified Professional Data Engineer Exam Sample Questions (Q60-Q65):
NEW QUESTION # 60
You are testing a Dataflow pipeline to ingest and transform text files. The files are compressed gzip, errors are written to a dead-letter queue, and you are using Sidelnputs to join data You noticed that the pipeline is taking longer to complete than expected, what should you do to expedite the Dataflow job?
- A. Switch to compressed Avro files
- B. Reduce the batch size
- C. Retry records that throw an error
- D. Use CoGroupByKey instead of the Sidelnput
Answer: B
NEW QUESTION # 61
Your neural network model is taking days to train. You want to increase the training speed. What can you
do?
- A. Increase the number of input features to your model.
- B. Subsample your training dataset.
- C. Increase the number of layers in your neural network.
- D. Subsample your test dataset.
Answer: C
Explanation:
Explanation/Reference:
Reference: https://towardsdatascience.com/how-to-increase-the-accuracy-of-a-neural-network-
9f5d1c6f407d
NEW QUESTION # 62
You need to migrate a Redis database from an on-premises data center to a Memorystore for Redis instance. You want to follow Google-recommended practices and perform the migration for minimal cost. time, and effort. What should you do?
- A. Make a secondary instance of the Redis database on a Compute Engine instance, and then perform a live cutover.
- B. Make an RDB backup of the Redis database, use the gsutil utility to copy the RDB file into a Cloud Storage bucket, and then import the RDB tile into the Memorystore for Redis instance.
- C. Write a shell script to migrate the Redis data, and create a new Memorystore for Redis instance.
- D. Create a Dataflow job to road the Redis database from the on-premises data center. and write the data to a Memorystore for Redis instance
Answer: B
Explanation:
The import and export feature uses the native RDB snapshot feature of Redis to import data into or export data out of a Memorystore for Redis instance. The use of the native RDB format prevents lock-in and makes it very easy to move data within Google Cloud or outside of Google Cloud. Import and export uses Cloud Storage buckets to store RDB files. Reference: https://cloud.google.com/memorystore/docs/redis/import-export-overview
NEW QUESTION # 63
You need to store and analyze social media postings in Google BigQuery at a rate of 10,000 messages per minute in near real-time. Initially, design the application to use streaming inserts for individual postings. Your application also performs data aggregations right after the streaming inserts. You discover that the queries after streaming inserts do not exhibit strong consistency, and reports from the queries might miss in-flight data. How can you adjust your application design?
- A. Estimate the average latency for data availability after streaming inserts, and always run queries after waiting twice as long.
- B. Re-write the application to load accumulated data every 2 minutes.
- C. Load the original message to Google Cloud SQL, and export the table every hour to BigQuery via streaming inserts.
- D. Convert the streaming insert code to batch load for individual messages.
Answer: A
Explanation:
The data is first comes to buffer and then written to Storage. If we are running queries in buffer we will face above mentioned issues. If we wait for the bigquery to write the data to storage then we won't face the issue.
So We need to wait till it's written tio storage
NEW QUESTION # 64
When running a pipeline that has a BigQuery source, on your local machine, you continue to get permission denied errors. What could be the reason for that?
- A. BigQuery cannot be accessed from local machines
- B. You are missing gcloud on your machine
- C. Your gcloud does not have access to the BigQuery resources
- D. Pipelines cannot be run locally
Answer: C
Explanation:
When reading from a Dataflow source or writing to a Dataflow sink using DirectPipelineRunner, the Cloud Platform account that you configured with the gcloud executable will need access to the corresponding source/sink Reference:
https://cloud.google.com/dataflow/java-sdk/JavaDoc/com/google/cloud/dataflow/sdk/runners/DirectPipelineRun
NEW QUESTION # 65
......
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