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Professional-Data-Engineer PDF DEMO:
QUESTION NO: 1 You work for an economic consulting firm that helps companies identify economic trends as they happen. As part of your analysis, you use Google BigQuery to correlate customer data with the average prices of the 100 most common goods sold, including bread, gasoline, milk, and others. The average prices of these goods are updated every 30 minutes. You want to make sure this data stays up to date so you can combine it with other data in BigQuery as cheaply as possible. What should you do? A. Store and update the data in a regional Google Cloud Storage bucket and create a federated data source in BigQuery B. Store the data in a file in a regional Google Cloud Storage bucket. Use Cloud Dataflow to query BigQuery and combine the data programmatically with the data stored in Google Cloud Storage. C. Store the data in Google Cloud Datastore. Use Google Cloud Dataflow to query BigQuery and combine the data programmatically with the data stored in Cloud Datastore D. Load the data every 30 minutes into a new partitioned table in BigQuery. Answer: D
QUESTION NO: 2 Which of these rules apply when you add preemptible workers to a Dataproc cluster (select 2 answers)? A. A Dataproc cluster cannot have only preemptible workers. B. Preemptible workers cannot store data. C. Preemptible workers cannot use persistent disk. D. If a preemptible worker is reclaimed, then a replacement worker must be added manually. Answer: A,B Explanation The following rules will apply when you use preemptible workers with a Cloud Dataproc cluster: Processing only-Since preemptibles can be reclaimed at any time, preemptible workers do not store data. Preemptibles added to a Cloud Dataproc cluster only function as processing nodes. No preemptible-only clusters-To ensure clusters do not lose all workers, Cloud Dataproc cannot create preemptible-only clusters. Persistent disk size-As a default, all preemptible workers are created with the smaller of 100GB or the primary worker boot disk size. This disk space is used for local caching of data and is not available through HDFS. The managed group automatically re-adds workers lost due to reclamation as capacity permits. Reference: https://cloud.google.com/dataproc/docs/concepts/preemptible-vms
QUESTION NO: 3 You have a query that filters a BigQuery table using a WHERE clause on timestamp and ID columns. By using bq query - -dry_run you learn that the query triggers a full scan of the table, even though the filter on timestamp and ID select a tiny fraction of the overall data. You want to reduce the amount of data scanned by BigQuery with minimal changes to existing SQL queries. What should you do? A. Recreate the table with a partitioning column and clustering column. B. Create a separate table for each I C. Use the LIMIT keyword to reduce the number of rows returned. D. Use the bq query - -maximum_bytes_billed flag to restrict the number of bytes billed. Answer: C
QUESTION NO: 4 You have Cloud Functions written in Node.js that pull messages from Cloud Pub/Sub and send the data to BigQuery. You observe that the message processing rate on the Pub/Sub topic is orders of magnitude higher than anticipated, but there is no error logged in Stackdriver Log Viewer. What are the two most likely causes of this problem? Choose 2 answers. A. Publisher throughput quota is too small. B. The subscriber code cannot keep up with the messages. C. The subscriber code does not acknowledge the messages that it pulls. D. Error handling in the subscriber code is not handling run-time errors properly. E. Total outstanding messages exceed the 10-MB maximum. Answer: B,D
QUESTION NO: 5 You are designing the database schema for a machine learning-based food ordering service that will predict what users want to eat. Here is some of the information you need to store: * The user profile: What the user likes and doesn't like to eat * The user account information: Name, address, preferred meal times * The order information: When orders are made, from where, to whom The database will be used to store all the transactional data of the product. You want to optimize the data schema. Which Google Cloud Platform product should you use? A. BigQuery B. Cloud Datastore C. Cloud SQL D. Cloud Bigtable Answer: A
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Updated: May 27, 2022
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Professional-Data-Engineer PDF DEMO:
QUESTION NO: 1 You work for an economic consulting firm that helps companies identify economic trends as they happen. As part of your analysis, you use Google BigQuery to correlate customer data with the average prices of the 100 most common goods sold, including bread, gasoline, milk, and others. The average prices of these goods are updated every 30 minutes. You want to make sure this data stays up to date so you can combine it with other data in BigQuery as cheaply as possible. What should you do? A. Store and update the data in a regional Google Cloud Storage bucket and create a federated data source in BigQuery B. Store the data in a file in a regional Google Cloud Storage bucket. Use Cloud Dataflow to query BigQuery and combine the data programmatically with the data stored in Google Cloud Storage. C. Store the data in Google Cloud Datastore. Use Google Cloud Dataflow to query BigQuery and combine the data programmatically with the data stored in Cloud Datastore D. Load the data every 30 minutes into a new partitioned table in BigQuery. Answer: D
QUESTION NO: 2 Which of these rules apply when you add preemptible workers to a Dataproc cluster (select 2 answers)? A. A Dataproc cluster cannot have only preemptible workers. B. Preemptible workers cannot store data. C. Preemptible workers cannot use persistent disk. D. If a preemptible worker is reclaimed, then a replacement worker must be added manually. Answer: A,B Explanation The following rules will apply when you use preemptible workers with a Cloud Dataproc cluster: Processing only-Since preemptibles can be reclaimed at any time, preemptible workers do not store data. Preemptibles added to a Cloud Dataproc cluster only function as processing nodes. No preemptible-only clusters-To ensure clusters do not lose all workers, Cloud Dataproc cannot create preemptible-only clusters. Persistent disk size-As a default, all preemptible workers are created with the smaller of 100GB or the primary worker boot disk size. This disk space is used for local caching of data and is not available through HDFS. The managed group automatically re-adds workers lost due to reclamation as capacity permits. Reference: https://cloud.google.com/dataproc/docs/concepts/preemptible-vms
QUESTION NO: 3 You have a query that filters a BigQuery table using a WHERE clause on timestamp and ID columns. By using bq query - -dry_run you learn that the query triggers a full scan of the table, even though the filter on timestamp and ID select a tiny fraction of the overall data. You want to reduce the amount of data scanned by BigQuery with minimal changes to existing SQL queries. What should you do? A. Recreate the table with a partitioning column and clustering column. B. Create a separate table for each I C. Use the LIMIT keyword to reduce the number of rows returned. D. Use the bq query - -maximum_bytes_billed flag to restrict the number of bytes billed. Answer: C
QUESTION NO: 4 You have Cloud Functions written in Node.js that pull messages from Cloud Pub/Sub and send the data to BigQuery. You observe that the message processing rate on the Pub/Sub topic is orders of magnitude higher than anticipated, but there is no error logged in Stackdriver Log Viewer. What are the two most likely causes of this problem? Choose 2 answers. A. Publisher throughput quota is too small. B. The subscriber code cannot keep up with the messages. C. The subscriber code does not acknowledge the messages that it pulls. D. Error handling in the subscriber code is not handling run-time errors properly. E. Total outstanding messages exceed the 10-MB maximum. Answer: B,D
QUESTION NO: 5 You are designing the database schema for a machine learning-based food ordering service that will predict what users want to eat. Here is some of the information you need to store: * The user profile: What the user likes and doesn't like to eat * The user account information: Name, address, preferred meal times * The order information: When orders are made, from where, to whom The database will be used to store all the transactional data of the product. You want to optimize the data schema. Which Google Cloud Platform product should you use? A. BigQuery B. Cloud Datastore C. Cloud SQL D. Cloud Bigtable Answer: A
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And whatever the version is the users can learn the Professional-Data-Engineer Questions And Answers guide torrent at their own pleasures. The titles and the answers are the same and you can use the product on the computer or the cellphone or the laptop. We provide three versions of Professional-Data-Engineer Questions And Answers study materials to the client and they include PDF version, PC version and APP online version. Based on the statistics, prepare the exams under the guidance of our Professional-Data-Engineer Questions And Answers practice materials, the user's pass rate is up to 98% to 100%, And they only need to practice latest Professional-Data-Engineer Questions And Answers exam dump to hours. As the old saying goes, "Everything starts from reality, seeking truth from facts." This means that when we learn the theory, we end up returning to the actual application. We stipulate the quality and accuracy of Professional-Data-Engineer Questions And Answers exam questions every year for your prospective dream.
Google Cloud Certified Professional-Data-Engineer The data are unique-particular in this career.
Google Cloud Certified Professional-Data-Engineer Questions And Answers - Google Certified Professional Data Engineer Exam And at the same time, we always keep our questions and answers to the most accurate and the latest. So the content of our Professional-Data-Engineer Latest Exam Review quiz torrent is imbued with useful exam questions easily appear in the real condition. We are still moderately developing our latest Professional-Data-Engineer Latest Exam Review exam torrent all the time to help you cope with difficulties.
You can see that so many people are already ahead of you! You really don't have time to hesitate. If you really want to improve your ability, you should quickly purchase our Professional-Data-Engineer Questions And Answers study braindumps!
Google Professional-Data-Engineer Questions And Answers - And you can choose the favorite one.
In today's society, many people are busy every day and they think about changing their status of profession. They want to improve their competitiveness in the labor market, but they are worried that it is not easy to obtain the certification of Professional-Data-Engineer Questions And Answers. Our study tool can meet your needs. Once you use our Professional-Data-Engineer Questions And Answers exam materials, you don't have to worry about consuming too much time, because high efficiency is our great advantage. You only need to spend 20 to 30 hours on practicing and consolidating of our Professional-Data-Engineer Questions And Answers learning material, you will have a good result. After years of development practice, our Professional-Data-Engineer Questions And Answers test torrent is absolutely the best. You will embrace a better future if you choose our Professional-Data-Engineer Questions And Answers exam materials.
Many exam candidates are uninformed about the fact that our Professional-Data-Engineer Questions And Answers preparation materials can help them with higher chance of getting success than others. It is all about efficiency and accuracy.
Professional-Data-Engineer PDF DEMO:
QUESTION NO: 1 You work for an economic consulting firm that helps companies identify economic trends as they happen. As part of your analysis, you use Google BigQuery to correlate customer data with the average prices of the 100 most common goods sold, including bread, gasoline, milk, and others. The average prices of these goods are updated every 30 minutes. You want to make sure this data stays up to date so you can combine it with other data in BigQuery as cheaply as possible. What should you do? A. Store and update the data in a regional Google Cloud Storage bucket and create a federated data source in BigQuery B. Store the data in a file in a regional Google Cloud Storage bucket. Use Cloud Dataflow to query BigQuery and combine the data programmatically with the data stored in Google Cloud Storage. C. Store the data in Google Cloud Datastore. Use Google Cloud Dataflow to query BigQuery and combine the data programmatically with the data stored in Cloud Datastore D. Load the data every 30 minutes into a new partitioned table in BigQuery. Answer: D
QUESTION NO: 2 Which of these rules apply when you add preemptible workers to a Dataproc cluster (select 2 answers)? A. A Dataproc cluster cannot have only preemptible workers. B. Preemptible workers cannot store data. C. Preemptible workers cannot use persistent disk. D. If a preemptible worker is reclaimed, then a replacement worker must be added manually. Answer: A,B Explanation The following rules will apply when you use preemptible workers with a Cloud Dataproc cluster: Processing only-Since preemptibles can be reclaimed at any time, preemptible workers do not store data. Preemptibles added to a Cloud Dataproc cluster only function as processing nodes. No preemptible-only clusters-To ensure clusters do not lose all workers, Cloud Dataproc cannot create preemptible-only clusters. Persistent disk size-As a default, all preemptible workers are created with the smaller of 100GB or the primary worker boot disk size. This disk space is used for local caching of data and is not available through HDFS. The managed group automatically re-adds workers lost due to reclamation as capacity permits. Reference: https://cloud.google.com/dataproc/docs/concepts/preemptible-vms
QUESTION NO: 3 You have a query that filters a BigQuery table using a WHERE clause on timestamp and ID columns. By using bq query - -dry_run you learn that the query triggers a full scan of the table, even though the filter on timestamp and ID select a tiny fraction of the overall data. You want to reduce the amount of data scanned by BigQuery with minimal changes to existing SQL queries. What should you do? A. Recreate the table with a partitioning column and clustering column. B. Create a separate table for each I C. Use the LIMIT keyword to reduce the number of rows returned. D. Use the bq query - -maximum_bytes_billed flag to restrict the number of bytes billed. Answer: C
QUESTION NO: 4 You have Cloud Functions written in Node.js that pull messages from Cloud Pub/Sub and send the data to BigQuery. You observe that the message processing rate on the Pub/Sub topic is orders of magnitude higher than anticipated, but there is no error logged in Stackdriver Log Viewer. What are the two most likely causes of this problem? Choose 2 answers. A. Publisher throughput quota is too small. B. The subscriber code cannot keep up with the messages. C. The subscriber code does not acknowledge the messages that it pulls. D. Error handling in the subscriber code is not handling run-time errors properly. E. Total outstanding messages exceed the 10-MB maximum. Answer: B,D
QUESTION NO: 5 You are designing the database schema for a machine learning-based food ordering service that will predict what users want to eat. Here is some of the information you need to store: * The user profile: What the user likes and doesn't like to eat * The user account information: Name, address, preferred meal times * The order information: When orders are made, from where, to whom The database will be used to store all the transactional data of the product. You want to optimize the data schema. Which Google Cloud Platform product should you use? A. BigQuery B. Cloud Datastore C. Cloud SQL D. Cloud Bigtable Answer: A
During the exam, you would be familiar with the questions, which you have practiced in our Fortinet EMEA-Advanced-Support question dumps. And our website has already became a famous brand in the market because of our reliable PRINCE2 PRINCE2-Foundation exam questions. We will provide high quality assurance of Microsoft PL-400 exam questions for our customers with dedication to ensure that we can develop a friendly and sustainable relationship. SOCRA CCRP - For more textual content about practicing exam questions, you can download our products with reasonable prices and get your practice begin within 5 minutes. Our DASCA SDS preparation exam is consisted of a team of professional experts and technical staff, which means that you can trust our security system with whole-heart.
