Google Professional-Data-Engineer Valid Test Forum Especially, IBM , CompTIA A+,Network+ , Oracle, Vmware VCP610, Checkpoint CCSE, certification practice exams and so on, Last but not least, our customers can accumulate exam experience as well as improving their exam skills with our Professional-Data-Engineer updated study material, Thus, after payment for our Google Cloud Certified Professional-Data-Engineer exam practice dumps, if you have any questions, just feel free to contact with our after sale service staffs at any time, we will always spare no effort to help you.

To define new version of self, All these tools are readily available to download, https://www.dumptorrent.com/google-certified-professional-data-engineer-exam-dumps-torrent-9632.html and the security staff should know how these tools work, Why do some companies in an industry choose to franchise while their competitors don't?

Download Professional-Data-Engineer Exam Dumps

And the study materials are based on the past years of the exam https://www.dumptorrent.com/google-certified-professional-data-engineer-exam-dumps-torrent-9632.html really and industry trends through rigorous analysis and summary, That will create more social strife unless we it out.

Especially, IBM , CompTIA A+,Network+ , Oracle, Professional-Data-Engineer Valid Exam Registration Vmware VCP610, Checkpoint CCSE, certification practice exams and so on, Last but notleast, our customers can accumulate exam experience as well as improving their exam skills with our Professional-Data-Engineer updated study material.

Thus, after payment for our Google Cloud Certified Professional-Data-Engineer exam practice dumps, if you have any questions, just feel free to contact with our after sale service staffs at any time, we will always spare no effort to help you.

Authoritative Google Professional-Data-Engineer Valid Test Forum | Try Free Demo before Purchase

Before you buy Professional-Data-Engineer learning question, you can log in to our website to download a free trial question bank, and fully experience the convenience of PDF, APP, and PC three models of Professional-Data-Engineer learning question.

Do not worry now, Our Professional-Data-Engineer test questions materials have 80% similarity with the real exams, By trusting DumpTorrent, you are reducing your chances of failure.

The future is really beautiful, but now, taking a crucial step is even more important, In fact, our Professional-Data-Engineer exam simulation materials are the best choice, There is no doubt that it is very difficult for most people to pass the Professional-Data-Engineer exam and have the certification easily.

Professional-Data-Engineer exam dumps contain the best and fastest updating information, With the number of people who take the exam increasing, the Professional-Data-Engineer exam has become more and more difficult for many people.

Download Google Certified Professional Data Engineer Exam Exam Dumps

NEW QUESTION 46
You are updating the code for a subscriber to a Pub/Sub feed. You are concerned that upon deployment the subscriber may erroneously acknowledge messages, leading to message loss. Your subscriber is not set up to retain acknowledged messages. What should you do to ensure that you can recover from errors after deployment?

• A. Enable dead-lettering on the Pub/Sub topic to capture messages that aren't successfully acknowledged. If an error occurs after deployment, re-deliver any messages captured by the dead-letter queue.
• B. Set up the Pub/Sub emulator on your local machine. Validate the behavior of your new subscriber logic before deploying it to production.
• C. Create a Pub/Sub snapshot before deploying new subscriber code. Use a Seek operation to re-deliver messages that became available after the snapshot was created.
• D. Use Cloud Build for your deployment. If an error occurs after deployment, use a Seek operation to locate a timestamp logged by Cloud Build at the start of the deployment.

Answer: D

Explanation:
Explanation/Reference: https://cloud.google.com/pubsub/docs/replay-overview

NEW QUESTION 47
How can you get a neural network to learn about relationships between categories in a categorical feature?

• A. Create a hash bucket
• B. Create a multi-hot column
• C. Create an embedding column
• D. Create a one-hot column

Answer: C

Explanation:
There are two problems with one-hot encoding. First, it has high dimensionality, meaning that instead of having just one value, like a continuous feature, it has many values, or dimensions. This makes computation more time-consuming, especially if a feature has a very large number of categories. The second problem is that it doesn't encode any relationships between the categories. They are completely independent from each other, so the network has no way of knowing which ones are similar to each other.
Both of these problems can be solved by representing a categorical feature with an embedding column.
The idea is that each category has a smaller vector with, let's say, 5 values in it. But unlike a one-hot vector, the values are not usually 0. The values are weights, similar to the weights that are used for basic features in a neural network. The difference is that each category has a set of weights (5 of them in this case).
You can think of each value in the embedding vector as a feature of the category. So, if two categories are very similar to each other, then their embedding vectors should be very similar too. Reference: https:// cloudacademy.com/google/introduction-to-google-cloud-machine-learning-engine-course/a-wide-and- deep-model.html

NEW QUESTION 48
You are deploying MariaDB SQL databases on GCE VM Instances and need to configure monitoring and alerting. You want to collect metrics including network connections, disk IO and replication status from MariaDB with minimal development effort and use StackDriver for dashboards and alerts.
What should you do?

• A. Install the StackDriver Agent and configure the MySQL plugin.
• B. Install the OpenCensus Agent and create a custom metric collection application with a StackDriver exporter.
• C. Place the MariaDB instances in an Instance Group with a Health Check.
• D. Install the StackDriver Logging Agent and configure fluentd in_tail plugin to read MariaDB logs.

Answer: D

NEW QUESTION 49
Your company receives both batch- and stream-based event data. You want to process the data using Google Cloud Dataflow over a predictable time period. However, you realize that in some instances data can arrive late or out of order. How should you design your Cloud Dataflow pipeline to handle data that is late or out of order?

• A. Set sliding windows to capture all the lagged data.
• B. Use watermarks and timestamps to capture the lagged data.
• C. Ensure every datasource type (stream or batch) has a timestamp, and use the timestamps to define the logic for lagged data.
• D. Set a single global window to capture all the data.

Answer: A

NEW QUESTION 50
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. Load the original message to Google Cloud SQL, and export the table every hour to BigQuery via streaming inserts.
• B. Estimate the average latency for data availability after streaming inserts, and always run queries after waiting twice as long.
• C. Re-write the application to load accumulated data every 2 minutes.
• D. Convert the streaming insert code to batch load for individual messages.

Answer: C

NEW QUESTION 51
......