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NEW QUESTION: 1
A company runs an application on a group of Amazon Linux EC2 instances, The application writes log files using standard API calls For compliance reasons, all log files must be retained indefinitely and will be analyzed by a reporting tool that must access all files concurrently.
Which storage service should a solutions architect use to provide the MOST cost-effective solution?
A. Amazon EFS
B. Amazon S3
C. Amazon EBS
D. Amazon EC2 instance store
Answer: B
Explanation:
The application is writing the files using API calls which means it will be compatible with Amazon S3 which uses a REST API. S3 is a massively scalable key-based object store that is well-suited to allowing concurrent access to the files from many instances.
Amazon S3 will also be the most cost-effective choice. A rough calculation using the AWS pricing calculator shows the cost differences between 1TB of storage on EBS, EFS, and S3 Standard.
CORRECT: "Amazon S3" is the correct answer.
INCORRECT: "Amazon EFS" is incorrect as though this does offer concurrent access from many EC2 Linux instances, it is not the most cost-effective solution.
INCORRECT: "Amazon EBS" is incorrect. The Elastic Block Store (EBS) is not a good solution for concurrent access from many EC2 instances and is not the most cost-effective option either.
EBS volumes are mounted to a single instance except when using multi-attach which is a new feature and has several constraints.
INCORRECT: "Amazon EC2 instance store" is incorrect as this is an ephemeral storage solution which means the data is lost when powered down.
Therefore, this is not an option for long-term data storage.
References:
https://docs.aws.amazon.com/AmazonS3/latest/dev/optimizing-performance.html
NEW QUESTION: 2
Note: This question is a part of a series of questions that present the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.
Start of repeated scenario
You have a Microsoft SQL Server database that contains the following tables.
The following columns contain data information:
Date[Month] in the mmyyyy format
Date[Date_ID] in the ddmmyyyy format
Date[Date_name] in the mm/dd/yyyy format
Monthly_returns[Month_ID] in the mmyyyy format
The Order table contains more than one million rows.
The Store table has relationship to the Monthly_returns table on the Store_ID column. This is the only relationship between the tables.
You plan to use Power BI desktop to create an analytics solution for the data.
End of repeated scenario.
You are modifying the model to report on the number of order.
You need to calculate the number of orders.
What should you do?
A. Create a calculated measure that uses the SUM (Order_ID) DAX formula.
B. Create a calculated column that uses the SUM (Order_ID) DAX formula.
C. Create a calculated column that uses the COUNTA (Order_ID) DAX formula.
D. Create a calculated measure that uses the COUNTA(Order_ID) DAX formula.
Answer: A
Explanation:
Explanation/Reference:
References: https://docs.microsoft.com/en-us/power-bi/desktop-tutorial-create-measures
NEW QUESTION: 3
What is the primary role of smartcards in a PKI?
A. Transparent renewal of user keys
B. Fast hardware encryption of the raw data
C. Tamper resistant, mobile storage and application of private keys of the users
D. Easy distribution of the certificates between the users
Answer: C
Explanation:
Explanation/Reference:
Reference: HARRIS, Shon, All-In-One CISSP Certification Exam Guide, 2001, McGraw-Hill/Osborne, page
139;
SNYDER, J., What is a SMART CARD?.
Wikipedia has a nice definition at: http://en.wikipedia.org/wiki/Tamper_resistance Security
Tamper-resistant microprocessors are used to store and process private or sensitive information, such as private keys or electronic money credit. To prevent an attacker from retrieving or modifying the information, the chips are designed so that the information is not accessible through external means and can be accessed only by the embedded software, which should contain the appropriate security measures.
Examples of tamper-resistant chips include all secure cryptoprocessors, such as the IBM 4758 and chips used in smartcards, as well as the Clipper chip.
It has been argued that it is very difficult to make simple electronic devices secure against tampering, because numerous attacks are possible, including:
physical attack of various forms (microprobing, drills, files, solvents, etc.) freezing the device
applying out-of-spec voltages or power surges
applying unusual clock signals
inducing software errors using radiation
measuring the precise time and power requirements of certain operations (see power analysis) Tamper-resistant chips may be designed to zeroise their sensitive data (especially cryptographic keys) if they detect penetration of their security encapsulation or out-of-specification environmental parameters. A chip may even be rated for "cold zeroisation", the ability to zeroise itself even after its power supply has been crippled.
Nevertheless, the fact that an attacker may have the device in his possession for as long as he likes, and perhaps obtain numerous other samples for testing and practice, means that it is practically impossible to totally eliminate tampering by a sufficiently motivated opponent. Because of this, one of the most important elements in protecting a system is overall system design. In particular, tamper-resistant systems should
"fail gracefully" by ensuring that compromise of one device does not compromise the entire system. In this manner, the attacker can be practically restricted to attacks that cost less than the expected return from compromising a single device (plus, perhaps, a little more for kudos). Since the most sophisticated attacks have been estimated to cost several hundred thousand dollars to carry out, carefully designed systems may be invulnerable in practice.