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NEW QUESTION: 1
A large bank, with many offices, is using an EMC Avamar server, located in a central datacenter, to protect executives' Windows laptops. The Microsoft Exchange and Sharepoint servers are located in each branch along with the central MS SQL database that supports the branch's banking operations.
They are introducing EMC Data Domain into the data center to provide capacity for other third party backup applications. They would also like to integrate this system with EMC Avamar in order to free up capacity for anticipated growth on the existing Avamar Server.
Which of the data types that Avamar is protecting is supported to write to the Data Domain system?
A. MS SQL
B. MS Laptops
C. MS Exchange
D. MS Sharepoint
NEW QUESTION: 2
NEW QUESTION: 3
Hinweis: Diese Frage ist Teil einer Reihe von Fragen, die dasselbe Szenario darstellen. Jede Frage in der Reihe enthält eine einzigartige Lösung, die die angegebenen Ziele erreichen kann. Einige Fragensätze haben möglicherweise mehr als eine richtige Lösung, während andere möglicherweise keine richtige Lösung haben.
Nachdem Sie eine Frage in diesem Abschnitt beantwortet haben, können Sie NICHT mehr darauf zurückkommen. Infolgedessen werden diese Fragen nicht im Überprüfungsbildschirm angezeigt.
Sie haben eine Azure-Umgebung. Sie müssen eine neue virtuelle Azure-Maschine von einem Android-Laptop aus erstellen.
Lösung: Sie verwenden PowerShell in der Azure Cloud Shell.
Erfüllt dies das Ziel?
Azure Cloud Shell is a browser-based shell experience to manage and develop Azure resources.
Cloud Shell offers a browser-accessible, pre-configured shell experience for managing Azure resources without the overhead of installing, versioning, and maintaining a machine yourself.
Being browser-based, Azure Cloud Shell can be run on a browser from a tablet that runs the Android operating system.
NEW QUESTION: 4
You need to create a data pipeline that copies time-series transaction data so that it can be queried from within BigQuery by your data science team for analysis. Every hour, thousands of transactions are updated with a new status. The size of the intitial dataset is 1.5 PB, and it will grow by 3 TB per day. The data is heavily structured, and your data science team will build machine learning models based on this data. You want to maximize performance and usability for your data science team. Which two strategies should you adopt? (Choose two.)
A. Copy a daily snapshot of transaction data to Cloud Storage and store it as an Avro file. Use BigQuery's support for external data sources to query.
B. Use BigQuery UPDATE to further reduce the size of the dataset.
C. Denormalize the data as must as possible.
D. Develop a data pipeline where status updates are appended to BigQuery instead of updated.
E. Preserve the structure of the data as much as possible.
Denormalization will help in performance by reducing query time, update are not good with bigquery.